White Collar Factory (95009), United Kingdom, London, London Senior Software Engineer Job Title: Senior Software Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Working in and across tech teams is a natural part of our outcome-based culture, so you'll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. In this role, you will design, develop, test, and maintain software products that automate core business processes. You will walk in the shoes of our users, collaborating with Business, Technology, and Operations teams to build frictionless, high-impact solutions. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies: Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies , driving our journey into public cloud architecture Docker , for our containerised applications Jenkins, for continuous integration and deployment And meet most of the following: You are passionate about creating products that produce good customer outcomes You enjoy working with other technologists, alongside product, design and other disciplines You want to contribute to new designs of new product iterations, thinking strategically about architectural decisions and can communicate well with stakeholders You appreciate the sensitivity of customer data and the resiliency, performance and security that demands You enjoy automation (unified deployment pipelines, automated testing) and aspire to automate all but the creative problem solving You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression) Where and how you'll work This is a permanent position based in our London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave . A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Oct 01, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Senior Software Engineer Job Title: Senior Software Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We're on a mission to be a force for good in lending. Throughout our almost 30-year history, we've consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK's Best Workplaces list. Hear from our team about what it's like working at Capital One UK. About the Role Working in and across tech teams is a natural part of our outcome-based culture, so you'll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. In this role, you will design, develop, test, and maintain software products that automate core business processes. You will walk in the shoes of our users, collaborating with Business, Technology, and Operations teams to build frictionless, high-impact solutions. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies: Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies , driving our journey into public cloud architecture Docker , for our containerised applications Jenkins, for continuous integration and deployment And meet most of the following: You are passionate about creating products that produce good customer outcomes You enjoy working with other technologists, alongside product, design and other disciplines You want to contribute to new designs of new product iterations, thinking strategically about architectural decisions and can communicate well with stakeholders You appreciate the sensitivity of customer data and the resiliency, performance and security that demands You enjoy automation (unified deployment pipelines, automated testing) and aspire to automate all but the creative problem solving You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression) Where and how you'll work This is a permanent position based in our London office . We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. Our London office boasts a rooftop running track and coffee bar. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave . A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture-one that values diverse perspectives, fosters collaboration and encourages innovative ideas-and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Practice Group / Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions. Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. Key Responsibilities Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. Build clear APIs and integrate AI products with approved data, document, search and business systems. Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed Initial Focus End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. What Success Looks Like R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili
Sep 30, 2026
Full time
Practice Group / Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions. Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. The AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products. This is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably. This is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams. You will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. Key Responsibilities Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations. Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls. Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use. Build grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate. Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review and user-feedback loops. Manage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs. Implement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved. Build clear APIs and integrate AI products with approved data, document, search and business systems. Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps. Write maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable. Apply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed Initial Focus End-to-end agentic AI features and reusable harnesses for Radar and other named R&D products. A practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release. Grounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs. Interfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users. What Success Looks Like R&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users. AI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliabili
If you've built AI systems that made it into production, we'd like to hear from you. We're looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We're hiring across different levels of experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you'll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks and measuring accuracy, latency, cost and safety Implementing LLMOps practices including prompt versioning, observability and production monitoring Building APIs, backend services and full-stack applications that connect software systems with AI and agentic backends Designing and deploying cloud-native solutions using technologies such as Docker, Kubernetes, CI/CD and infrastructure as code Using AI-assisted development throughout the software delivery lifecycle, including coding, testing, debugging and code review For more senior engineers, the role also involves owning technical design, shaping agentic architecture, establishing engineering standards, leading client engagements and mentoring or managing engineering teams. We're particularly interested in engineers who can demonstrate real delivery experience. We want to understand what you personally designed, built and deployed, the technical decisions you made, and how you handled the challenges that came with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript. Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we're interested in depth of experience rather than simply familiarity with a particular tool. If you're a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you've been doing, I'd be interested in hearing from you. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Sep 30, 2026
Full time
If you've built AI systems that made it into production, we'd like to hear from you. We're looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We're hiring across different levels of experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you'll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks and measuring accuracy, latency, cost and safety Implementing LLMOps practices including prompt versioning, observability and production monitoring Building APIs, backend services and full-stack applications that connect software systems with AI and agentic backends Designing and deploying cloud-native solutions using technologies such as Docker, Kubernetes, CI/CD and infrastructure as code Using AI-assisted development throughout the software delivery lifecycle, including coding, testing, debugging and code review For more senior engineers, the role also involves owning technical design, shaping agentic architecture, establishing engineering standards, leading client engagements and mentoring or managing engineering teams. We're particularly interested in engineers who can demonstrate real delivery experience. We want to understand what you personally designed, built and deployed, the technical decisions you made, and how you handled the challenges that came with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript. Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we're interested in depth of experience rather than simply familiarity with a particular tool. If you're a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you've been doing, I'd be interested in hearing from you. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Who We Are Veson Nautical empowers the global maritime industry to navigate complexity on all sides of the trade. Veson's platform combines AI-driven workflows, trusted data, and seamless collaboration, to deliver the insight and context needed for confident, competitive decision-making. The Opportunity As a Principal Site Reliability Engineer at Veson Nautical, you will design, build, monitor, and support the cloud infrastructure that underpins our rapidly growing SaaS platform. This is a multi-cloud role spanning both AWS and Google Cloud Platform, with an immediate focus on growing our GCP footprint and the systems that connect our environments across regions, accounts, and clouds. The work is a mix of greenfield and stewardship. You'll stand up infrastructure for new applications from scratch, and you'll take on the harder problem of making our existing estate more consistent, more observable, and easier to operate. You will have significant influence over the architectural direction of the platform. The Team You'll join a global Site Reliability Engineering team with members in the United States and the United Kingdom. This is a senior individual contributor role without direct reports, but with real leadership expectations. If you are the kind of engineer who measures success partly by what your teammates can do without you, this role will suit you. This position is based in London in a hybrid model, with an expectation of 2-3 days per week in our office. We think those days are worth showing up for: our beautiful office is stocked with snacks, there's a weekly team lunch on us, and the atmosphere is friendly, informal, and genuinely collaborative. The team participates in an on-call rotation -more details will be provided in the interview process. Our suite of products includes: Veson Platform - the core commercial maritime platform used by the world's leading shipping organizations to manage vessel communication, operations, and trade decisions Oceanbolt - a dynamic data intelligence platform, tracking over 23,000 vessels in real time to deliver accurate, timely market intelligence to drive decision making Shipfix - using proprietary AI-driven tools to infer cargo and vessel information, extracting, anonymizing, and aggregating billions of data points with near real-time processing of email exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account, with a broad range of managed services Containers and orchestration - Kubernetes (GKE and EKS) Infrastructure-as-Code - Terraform, Terragrunt, and Atlantis CI/CD - GitLab Pipelines, ArgoCD, Octopus Deploy Data - ElasticSearch hosted with Kubernetes Operator, PostgreSQL, SQL Server, BigQuery Monitoring and Security - Splunk, Grafana / Grafana Tempo, OpenTelemetry, Cloud Armor Enterprise, OpsGenie, Renovate, Sentry AI Tools - Claude, Amazon Bedrock, Gemini, Vertex AI Key Responsibilities Design, implement, and operate scalable, reliable, and secure infrastructure across Google Cloud Platform and AWS Lead greenfield infrastructure builds for new applications, and modernize existing infrastructure toward common patterns Solve cross-region, cross-account, and cross-cloud problems - networking, identity, data movement, and the operational patterns that hold across environments Drive automation of infrastructure provisioning and configuration management using Terraform and related IaC tooling Establish and maintain comprehensive monitoring, alerting, and observability practices Cross-train and mentor other engineers, with the explicit goal of broadening GCP and multi-cloud capability across the team Partner closely with development teams to ensure the reliability, performance, and scalability of our platforms Set technical direction through design reviews, architecture proposals, and clear written documentation Participate in and improve incident response, and drive the follow-through that keeps the same incident from recurring Improve the cost effectiveness of our cloud footprint through visibility, analysis, and sound architectural choices Skills/Experience Needed to Be Successful in This Role Required: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Previous experience working on a large-scale Software-as-a-Service (SaaS) platform supporting thousands of global users in a 24x7x365 environment 5+ years of hands on experience with Google Cloud Platform services and architecture, including running production workloads at scale Production Kubernetes experience, particularly Google Kubernetes Engine (GKE) Proficiency with Infrastructure-as-Code, preferably Terraform with the GCP provider Experience with Google Cloud networking, including VPC, Cloud Load Balancing, and Cloud CDN Strong programming skills in Python, Go, or TypeScript for automation and tool development Demonstrated ability to raise the technical capability of a team through mentorship, documentation, and knowledge sharing A track record of building consensus around technical decisions that span multiple teams Highly Desirable: Hands on experience with both GCP and AWS, and a clear point of view on where multi-cloud helps and where it hurts Working knowledge of Google Cloud security best practices and IAM implementation Experience with Google Cloud data services including BigQuery and Dataflow Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting) Experience working on a geographically distributed team across time zones Nice to have: Google Cloud Professional certifications (Cloud Architect, Data Engineer, or DevOps Engineer) Experience with GitLab CI or Octopus Deploy This role is scoped at the Principal level, and we may also consider well qualified candidates at the Senior level. We are focused on building a diverse and inclusive workforce. If you're excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. While we try to be thorough with our job descriptions, not everything about you as a candidate can be condensed into a list of bullet points. About Veson Nautical Veson Nautical is a successful, rapidly growing global software company. Our clients are the world's leading commercial maritime owners, operators, and commodity trading companies. Veson's solutions enable our clients to identify new opportunities and proactively manage their business to make more profitable decisions. With offices in Singapore, Tokyo, London, Houston and headquarters in Boston, USA, Veson Nautical is a dynamic organization with a committed team of professionals. Dedicated to ensuring the highest levels of client satisfaction, Veson Nautical brings decades of experience, technical knowledge, enthusiasm, and commitment to clients around the world.
Sep 30, 2026
Full time
Who We Are Veson Nautical empowers the global maritime industry to navigate complexity on all sides of the trade. Veson's platform combines AI-driven workflows, trusted data, and seamless collaboration, to deliver the insight and context needed for confident, competitive decision-making. The Opportunity As a Principal Site Reliability Engineer at Veson Nautical, you will design, build, monitor, and support the cloud infrastructure that underpins our rapidly growing SaaS platform. This is a multi-cloud role spanning both AWS and Google Cloud Platform, with an immediate focus on growing our GCP footprint and the systems that connect our environments across regions, accounts, and clouds. The work is a mix of greenfield and stewardship. You'll stand up infrastructure for new applications from scratch, and you'll take on the harder problem of making our existing estate more consistent, more observable, and easier to operate. You will have significant influence over the architectural direction of the platform. The Team You'll join a global Site Reliability Engineering team with members in the United States and the United Kingdom. This is a senior individual contributor role without direct reports, but with real leadership expectations. If you are the kind of engineer who measures success partly by what your teammates can do without you, this role will suit you. This position is based in London in a hybrid model, with an expectation of 2-3 days per week in our office. We think those days are worth showing up for: our beautiful office is stocked with snacks, there's a weekly team lunch on us, and the atmosphere is friendly, informal, and genuinely collaborative. The team participates in an on-call rotation -more details will be provided in the interview process. Our suite of products includes: Veson Platform - the core commercial maritime platform used by the world's leading shipping organizations to manage vessel communication, operations, and trade decisions Oceanbolt - a dynamic data intelligence platform, tracking over 23,000 vessels in real time to deliver accurate, timely market intelligence to drive decision making Shipfix - using proprietary AI-driven tools to infer cargo and vessel information, extracting, anonymizing, and aggregating billions of data points with near real-time processing of email exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account, with a broad range of managed services Containers and orchestration - Kubernetes (GKE and EKS) Infrastructure-as-Code - Terraform, Terragrunt, and Atlantis CI/CD - GitLab Pipelines, ArgoCD, Octopus Deploy Data - ElasticSearch hosted with Kubernetes Operator, PostgreSQL, SQL Server, BigQuery Monitoring and Security - Splunk, Grafana / Grafana Tempo, OpenTelemetry, Cloud Armor Enterprise, OpsGenie, Renovate, Sentry AI Tools - Claude, Amazon Bedrock, Gemini, Vertex AI Key Responsibilities Design, implement, and operate scalable, reliable, and secure infrastructure across Google Cloud Platform and AWS Lead greenfield infrastructure builds for new applications, and modernize existing infrastructure toward common patterns Solve cross-region, cross-account, and cross-cloud problems - networking, identity, data movement, and the operational patterns that hold across environments Drive automation of infrastructure provisioning and configuration management using Terraform and related IaC tooling Establish and maintain comprehensive monitoring, alerting, and observability practices Cross-train and mentor other engineers, with the explicit goal of broadening GCP and multi-cloud capability across the team Partner closely with development teams to ensure the reliability, performance, and scalability of our platforms Set technical direction through design reviews, architecture proposals, and clear written documentation Participate in and improve incident response, and drive the follow-through that keeps the same incident from recurring Improve the cost effectiveness of our cloud footprint through visibility, analysis, and sound architectural choices Skills/Experience Needed to Be Successful in This Role Required: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Previous experience working on a large-scale Software-as-a-Service (SaaS) platform supporting thousands of global users in a 24x7x365 environment 5+ years of hands on experience with Google Cloud Platform services and architecture, including running production workloads at scale Production Kubernetes experience, particularly Google Kubernetes Engine (GKE) Proficiency with Infrastructure-as-Code, preferably Terraform with the GCP provider Experience with Google Cloud networking, including VPC, Cloud Load Balancing, and Cloud CDN Strong programming skills in Python, Go, or TypeScript for automation and tool development Demonstrated ability to raise the technical capability of a team through mentorship, documentation, and knowledge sharing A track record of building consensus around technical decisions that span multiple teams Highly Desirable: Hands on experience with both GCP and AWS, and a clear point of view on where multi-cloud helps and where it hurts Working knowledge of Google Cloud security best practices and IAM implementation Experience with Google Cloud data services including BigQuery and Dataflow Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting) Experience working on a geographically distributed team across time zones Nice to have: Google Cloud Professional certifications (Cloud Architect, Data Engineer, or DevOps Engineer) Experience with GitLab CI or Octopus Deploy This role is scoped at the Principal level, and we may also consider well qualified candidates at the Senior level. We are focused on building a diverse and inclusive workforce. If you're excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. While we try to be thorough with our job descriptions, not everything about you as a candidate can be condensed into a list of bullet points. About Veson Nautical Veson Nautical is a successful, rapidly growing global software company. Our clients are the world's leading commercial maritime owners, operators, and commodity trading companies. Veson's solutions enable our clients to identify new opportunities and proactively manage their business to make more profitable decisions. With offices in Singapore, Tokyo, London, Houston and headquarters in Boston, USA, Veson Nautical is a dynamic organization with a committed team of professionals. Dedicated to ensuring the highest levels of client satisfaction, Veson Nautical brings decades of experience, technical knowledge, enthusiasm, and commitment to clients around the world.
Job Title: Azure Engineer Job Description This role leads the design and delivery of cloud-native, full stack products on Microsoft Azure, running on Azure Kubernetes Service (AKS). You will be hands-on across the stack while setting technical direction, strengthening engineering standards, and ensuring solutions are secure, resilient, observable, and straightforward to operate in production. Responsibilities Lead full stack delivery across React (TypeScript) front-end applications and Java/Python back-end services, including microservices and APIs. Own cloud-native solution design for AKS-based platforms, defining service boundaries, resilience patterns, scaling approaches, deployment strategies, and operational readiness. Design, build, and operate back-end services using Java (Spring Boot) and/or Python (FastAPI/Flask), covering API design with OpenAPI, performance optimisation, and security controls. Develop modern user interfaces with React, focusing on accessible design, reusable components, and efficient state management. Design and maintain Kubernetes deployments on AKS, including manifests, ingress configuration, autoscaling, configuration and secrets management, service-to-service communication, and rollout/rollback patterns. Implement and maintain DevSecOps practices using Azure DevOps, building CI/CD pipelines with automated quality gates such as unit and integration tests, SAST/DAST where applicable, and dependency scanning. Drive observability and production excellence by implementing logging, metrics, and tracing, creating actionable alerts, defining SLOs and SLIs, and leading incident response and post-incident improvement activities. Embed security by design through secure coding practices, threat modelling, role-based access control and least privilege, secrets management including Key Vault integration, and modern identity patterns using OAuth2 and OIDC. Coach and uplift engineers across the stack by leading code and design reviews, mentoring, driving consistent standards, and actively reducing technical debt. Collaborate closely with product, architecture, UX, QA, and platform teams to plan delivery, manage risk, and ensure successful outcomes. Set clear technical direction, making well-reasoned trade-offs between speed and sustainability. Build an inclusive engineering culture where diverse viewpoints are welcomed and used to improve outcomes. Take accountability for delivery and production stability, focusing on root causes rather than temporary workarounds. Maintain delivery momentum by removing blockers, simplifying complex processes, automating where possible, and helping the team ship high-quality software. Essential Skills Significant experience in Senior Lead or Lead Engineer roles delivering and operating production systems. Strong hands-on engineering background in Java, including Spring Boot, REST APIs, testing strategies, and performance tuning. Strong hands-on experience with Python for service development and automation, preferably using FastAPI or Flask. Proven experience building and maintaining front-end applications with React, ideally using TypeScript, modern hooks, and robust front-end testing approaches. Demonstrable experience running workloads on Azure Kubernetes Service (AKS), with solid understanding of Kubernetes fundamentals such as deployments, services, ingress, configmaps, secrets, and horizontal pod autoscaling (HPA). Practical experience with containerisation using Docker and packaging and deployment of containerised workloads. experience designing and executing release strategies, including blue/green deployments, canary releases, rolling upgrades, and rollback planning. Strong experience with Azure DevOps, including CI/CD pipeline design and implementation for build, test, and deploy stages, approvals, and environment management. Good understanding of repository hygiene, branching strategies, and maintaining high-quality pull requests. Solid understanding of security, reliability, and operability in a regulated or enterprise environment. experience applying DevSecOps practices including SAST and DAST, and dependency scanning within CI/CD pipelines. Practical knowledge of modern identity and access management, including OAuth2 and OIDC. Additional Skills & Qualifications experience with Azure services commonly used alongside AKS, such as Azure Container Registry (ACR), Key Vault, Azure Monitor, Log Analytics, Application Insights, API Management (APIM), and Service Bus or Event Hubs. Familiarity with Infrastructure as Code tools, particularly Bicep or Terraform. Understanding of service mesh technologies and policy controls, as well as network security patterns including private endpoints and ingress controls. Strong background in domain-driven design and event-driven architecture. experience leading cross-functional engineering teams and influencing technical direction. Ability to balance short-term delivery needs with long-term sustainability and maintainability. Why Work Here? You will join a culture that values strong engineering practices, inclusive collaboration, and continuous improvement. The environment encourages ownership of technical decisions, supports mentoring and skills development, and recognises the importance of secure, reliable, and well-operated systems. You will have the opportunity to shape engineering standards, work with modern cloud-native technologies, and contribute to an environment where thoughtful trade-offs and sustainable delivery are genuinely appreciated. Work Environment You will work in a modern cloud-native environment built on Microsoft Azure and Azure Kubernetes Service, using technologies such as Java (Spring Boot), Python (FastAPI/Flask), React with TypeScript, Docker, and Azure DevOps for CI/CD. The role involves close collaboration with product, architecture, UX, QA, and platform teams in a setting that emphasises observability, security, and production excellence. The engineering culture promotes inclusive teamwork, high code quality, and automation across the delivery lifecycle. Location Sheffield, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Sep 29, 2026
Contractor
Job Title: Azure Engineer Job Description This role leads the design and delivery of cloud-native, full stack products on Microsoft Azure, running on Azure Kubernetes Service (AKS). You will be hands-on across the stack while setting technical direction, strengthening engineering standards, and ensuring solutions are secure, resilient, observable, and straightforward to operate in production. Responsibilities Lead full stack delivery across React (TypeScript) front-end applications and Java/Python back-end services, including microservices and APIs. Own cloud-native solution design for AKS-based platforms, defining service boundaries, resilience patterns, scaling approaches, deployment strategies, and operational readiness. Design, build, and operate back-end services using Java (Spring Boot) and/or Python (FastAPI/Flask), covering API design with OpenAPI, performance optimisation, and security controls. Develop modern user interfaces with React, focusing on accessible design, reusable components, and efficient state management. Design and maintain Kubernetes deployments on AKS, including manifests, ingress configuration, autoscaling, configuration and secrets management, service-to-service communication, and rollout/rollback patterns. Implement and maintain DevSecOps practices using Azure DevOps, building CI/CD pipelines with automated quality gates such as unit and integration tests, SAST/DAST where applicable, and dependency scanning. Drive observability and production excellence by implementing logging, metrics, and tracing, creating actionable alerts, defining SLOs and SLIs, and leading incident response and post-incident improvement activities. Embed security by design through secure coding practices, threat modelling, role-based access control and least privilege, secrets management including Key Vault integration, and modern identity patterns using OAuth2 and OIDC. Coach and uplift engineers across the stack by leading code and design reviews, mentoring, driving consistent standards, and actively reducing technical debt. Collaborate closely with product, architecture, UX, QA, and platform teams to plan delivery, manage risk, and ensure successful outcomes. Set clear technical direction, making well-reasoned trade-offs between speed and sustainability. Build an inclusive engineering culture where diverse viewpoints are welcomed and used to improve outcomes. Take accountability for delivery and production stability, focusing on root causes rather than temporary workarounds. Maintain delivery momentum by removing blockers, simplifying complex processes, automating where possible, and helping the team ship high-quality software. Essential Skills Significant experience in Senior Lead or Lead Engineer roles delivering and operating production systems. Strong hands-on engineering background in Java, including Spring Boot, REST APIs, testing strategies, and performance tuning. Strong hands-on experience with Python for service development and automation, preferably using FastAPI or Flask. Proven experience building and maintaining front-end applications with React, ideally using TypeScript, modern hooks, and robust front-end testing approaches. Demonstrable experience running workloads on Azure Kubernetes Service (AKS), with solid understanding of Kubernetes fundamentals such as deployments, services, ingress, configmaps, secrets, and horizontal pod autoscaling (HPA). Practical experience with containerisation using Docker and packaging and deployment of containerised workloads. experience designing and executing release strategies, including blue/green deployments, canary releases, rolling upgrades, and rollback planning. Strong experience with Azure DevOps, including CI/CD pipeline design and implementation for build, test, and deploy stages, approvals, and environment management. Good understanding of repository hygiene, branching strategies, and maintaining high-quality pull requests. Solid understanding of security, reliability, and operability in a regulated or enterprise environment. experience applying DevSecOps practices including SAST and DAST, and dependency scanning within CI/CD pipelines. Practical knowledge of modern identity and access management, including OAuth2 and OIDC. Additional Skills & Qualifications experience with Azure services commonly used alongside AKS, such as Azure Container Registry (ACR), Key Vault, Azure Monitor, Log Analytics, Application Insights, API Management (APIM), and Service Bus or Event Hubs. Familiarity with Infrastructure as Code tools, particularly Bicep or Terraform. Understanding of service mesh technologies and policy controls, as well as network security patterns including private endpoints and ingress controls. Strong background in domain-driven design and event-driven architecture. experience leading cross-functional engineering teams and influencing technical direction. Ability to balance short-term delivery needs with long-term sustainability and maintainability. Why Work Here? You will join a culture that values strong engineering practices, inclusive collaboration, and continuous improvement. The environment encourages ownership of technical decisions, supports mentoring and skills development, and recognises the importance of secure, reliable, and well-operated systems. You will have the opportunity to shape engineering standards, work with modern cloud-native technologies, and contribute to an environment where thoughtful trade-offs and sustainable delivery are genuinely appreciated. Work Environment You will work in a modern cloud-native environment built on Microsoft Azure and Azure Kubernetes Service, using technologies such as Java (Spring Boot), Python (FastAPI/Flask), React with TypeScript, Docker, and Azure DevOps for CI/CD. The role involves close collaboration with product, architecture, UX, QA, and platform teams in a setting that emphasises observability, security, and production excellence. The engineering culture promotes inclusive teamwork, high code quality, and automation across the delivery lifecycle. Location Sheffield, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
If you've built AI systems that made it into production, we'd like to hear from you. We're looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We're hiring across different levels of experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you'll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks and measuring accuracy, latency, cost and safety Implementing LLMOps practices including prompt versioning, observability and production monitoring Building APIs, backend services and full-stack applications that connect software systems with AI and agentic backends Designing and deploying cloud-native solutions using technologies such as Docker, Kubernetes, CI/CD and infrastructure as code Using AI-assisted development throughout the software delivery lifecycle, including coding, testing, debugging and code review For more senior engineers, the role also involves owning technical design, shaping agentic architecture, establishing engineering standards, leading client engagements and mentoring or managing engineering teams. We're particularly interested in engineers who can demonstrate real delivery experience. We want to understand what you personally designed, built and deployed, the technical decisions you made, and how you handled the challenges that came with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript. Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we're interested in depth of experience rather than simply familiarity with a particular tool. If you're a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you've been doing, I'd be interested in hearing from you. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Sep 29, 2026
Full time
If you've built AI systems that made it into production, we'd like to hear from you. We're looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We're hiring across different levels of experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you'll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks and measuring accuracy, latency, cost and safety Implementing LLMOps practices including prompt versioning, observability and production monitoring Building APIs, backend services and full-stack applications that connect software systems with AI and agentic backends Designing and deploying cloud-native solutions using technologies such as Docker, Kubernetes, CI/CD and infrastructure as code Using AI-assisted development throughout the software delivery lifecycle, including coding, testing, debugging and code review For more senior engineers, the role also involves owning technical design, shaping agentic architecture, establishing engineering standards, leading client engagements and mentoring or managing engineering teams. We're particularly interested in engineers who can demonstrate real delivery experience. We want to understand what you personally designed, built and deployed, the technical decisions you made, and how you handled the challenges that came with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript. Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we're interested in depth of experience rather than simply familiarity with a particular tool. If you're a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you've been doing, I'd be interested in hearing from you. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We're looking for a hands-on engineering lead with a passion for building AI-powered products and shaping engineering culture. You'll provide technical leadership while remaining close to the code, partnering with teams across the organisation to build scalable developer platforms, influence engineering strategy and drive the adoption of Generative AI and modern engineering practices. Key Responsibilities Drive the design and delivery of enterprise-scale applications supporting critical business functions and large user populations. Remain hands-on with software architecture, system design, code reviews and engineering decision-making. Set technical direction across full-stack ecosystems spanning frontend, backend, APIs, cloud services and platform components Partner with senior technology and business stakeholders to align platform strategy with organisational priorities. Deliver high-profile, business-critical programmes with significant operational and executive visibility. Champion engineering excellence, DevSecOps principles, platform engineering and continuous improvement. Mentor engineering managers, principal engineers and senior engineers, building a culture of technical excellence and accountability. Drive adoption of developer platforms, automation capabilities and enterprise engineering standards across multiple teams. Skills & Experience Proven experience leading software engineering organisations in a hands-on technical capacity. Strong software engineering expertise across modern languages and frameworks, including experience coding in one or more of: Python, Go, TypeScript, JavaScript or React. Experience delivering AI-enabled or Generative AI solutions within enterprise environments. Experience building enterprise-scale cloud-native applications using Kubernetes, containers, microservices and event-driven architectures. Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering. Strong knowledge of SQL and NoSQL technologies, API design and integration patterns. Excellent communication and stakeholder management skills with the ability to influence technology decisions across numerous teams and organisations. Growth mindset with a passion for mentoring, coaching and developing technical talent. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Sep 23, 2026
Full time
Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We're looking for a hands-on engineering lead with a passion for building AI-powered products and shaping engineering culture. You'll provide technical leadership while remaining close to the code, partnering with teams across the organisation to build scalable developer platforms, influence engineering strategy and drive the adoption of Generative AI and modern engineering practices. Key Responsibilities Drive the design and delivery of enterprise-scale applications supporting critical business functions and large user populations. Remain hands-on with software architecture, system design, code reviews and engineering decision-making. Set technical direction across full-stack ecosystems spanning frontend, backend, APIs, cloud services and platform components Partner with senior technology and business stakeholders to align platform strategy with organisational priorities. Deliver high-profile, business-critical programmes with significant operational and executive visibility. Champion engineering excellence, DevSecOps principles, platform engineering and continuous improvement. Mentor engineering managers, principal engineers and senior engineers, building a culture of technical excellence and accountability. Drive adoption of developer platforms, automation capabilities and enterprise engineering standards across multiple teams. Skills & Experience Proven experience leading software engineering organisations in a hands-on technical capacity. Strong software engineering expertise across modern languages and frameworks, including experience coding in one or more of: Python, Go, TypeScript, JavaScript or React. Experience delivering AI-enabled or Generative AI solutions within enterprise environments. Experience building enterprise-scale cloud-native applications using Kubernetes, containers, microservices and event-driven architectures. Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering. Strong knowledge of SQL and NoSQL technologies, API design and integration patterns. Excellent communication and stakeholder management skills with the ability to influence technology decisions across numerous teams and organisations. Growth mindset with a passion for mentoring, coaching and developing technical talent. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills: Please see the requirements listed above. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
About The Role HTS Assist is Hopper's agentic AI assistant for travel, resolving flight changes, cancellations, refunds, and bookings over chat and voice for some of the world's largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front ends, Scala and Python services, and cloud infrastructure. The team is lean and senior, ownership is broad, and the path from your code to a traveler's phone call is short. HTS Assist is Hopper's agentic AI assistant for travel, resolving flight changes, cancellations, refunds, and bookings over chat and voice for some of the world's largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front ends, Scala and Python services, and cloud infrastructure. The team is lean and senior, ownership is broad, and the path from your code to a traveler's phone call is short. What Would Your Day-to-day Look Like Own the voice channel end to end, including telephony and CPaaS integrations (e.g., Twilio, Amazon Connect), streaming speech-to-text and text-to-speech pipelines, realtime model orchestration, and latency and quality budgets Build product features across the stack, including web chat front ends in React/TypeScript, backend services in Scala and Python, and infrastructure on GCP Design for multi-tenant scale, with one codebase serving many partners through configuration rather than forks Build the safety and compliance plumbing enterprise partners audit, including guardrails, content filtering, and PII redaction integration points Keep revenue-critical deployments healthy through observability, alerting, incident response, and SLA performance Build the platform capabilities forward-deployed engineers configure for partner telephony integrations and go-lives Raise the engineering bar through code review, architecture reviews, and mentoring An ideal candidate has 6+ years of software engineering experience, with senior-level ownership of production systems and genuine full-stack range Hands-on realtime systems experience, such as voice applications, WebRTC/SIP, streaming media, or comparable low-latency products Strength in a modern front end (React, TypeScript) and depth on the backend (Scala or another JVM language, and/or Python), along with cloud infrastructure experience on GCP or AWS A track record designing, building, and maintaining RESTful APIs, microservices, or event-driven systems Familiarity using AI coding tools as a standard part of their workflow, with the judgment to review, correct, and own everything that ships An operable-systems mindset, covering SLAs, observability, on-call rotations, and rollback plans The ability to break down complex problems, make pragmatic tradeoffs, and ship iteratively, backed by strong communication across product, design, and operations Bonus points for conversational AI or LLM orchestration experience, including speech technologies such as Deepgram, ElevenLabs, Whisper, or OpenAI Realtime Bonus points for working knowledge of cloud telephony or CPaaS platforms such as Twilio, Amazon Connect, Genesys, or LiveKit Bonus points for experience building customer service, CRM, contact center, or workflow automation tools Familiarity with travel industry technologies (PSS/GDS, hotel PMS/CRS) is a plus, though not required Perks And Benefits Of Working With Us Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health Automatic contributions when you start with Hopper through Smart Pension Please ask us about our very generous parental leave, much above industry standards Access to co-working space on demand through FlexDesk and a work-from-home stipend Carrot Cash travel stipend Unlimited PTO Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams, massive impact About Hopper At Hopper, we are on a mission to become the leading travel platform globally, powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions, helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers, with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world's largest brands. Through HTS, our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company's recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS' channels every year. Our fintech products, including Cancel for Any Reason and Flight Disruption Assistance, have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking, and consumers are 1.6x more likely to repurchase if they add fintech to their booking versus if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper's fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the largest online travel agency in North America and 70% of our app customers are Gen Z and millennial travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us! This role utilizes automated decision-making systems to assess candidate suitability. Under local regulations, you have the right to understand the principal factors used in this assessment, request a correction of your data, or request a human review of any automated decision. To exercise these rights, please contact
Sep 23, 2026
Full time
About The Role HTS Assist is Hopper's agentic AI assistant for travel, resolving flight changes, cancellations, refunds, and bookings over chat and voice for some of the world's largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front ends, Scala and Python services, and cloud infrastructure. The team is lean and senior, ownership is broad, and the path from your code to a traveler's phone call is short. HTS Assist is Hopper's agentic AI assistant for travel, resolving flight changes, cancellations, refunds, and bookings over chat and voice for some of the world's largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front ends, Scala and Python services, and cloud infrastructure. The team is lean and senior, ownership is broad, and the path from your code to a traveler's phone call is short. What Would Your Day-to-day Look Like Own the voice channel end to end, including telephony and CPaaS integrations (e.g., Twilio, Amazon Connect), streaming speech-to-text and text-to-speech pipelines, realtime model orchestration, and latency and quality budgets Build product features across the stack, including web chat front ends in React/TypeScript, backend services in Scala and Python, and infrastructure on GCP Design for multi-tenant scale, with one codebase serving many partners through configuration rather than forks Build the safety and compliance plumbing enterprise partners audit, including guardrails, content filtering, and PII redaction integration points Keep revenue-critical deployments healthy through observability, alerting, incident response, and SLA performance Build the platform capabilities forward-deployed engineers configure for partner telephony integrations and go-lives Raise the engineering bar through code review, architecture reviews, and mentoring An ideal candidate has 6+ years of software engineering experience, with senior-level ownership of production systems and genuine full-stack range Hands-on realtime systems experience, such as voice applications, WebRTC/SIP, streaming media, or comparable low-latency products Strength in a modern front end (React, TypeScript) and depth on the backend (Scala or another JVM language, and/or Python), along with cloud infrastructure experience on GCP or AWS A track record designing, building, and maintaining RESTful APIs, microservices, or event-driven systems Familiarity using AI coding tools as a standard part of their workflow, with the judgment to review, correct, and own everything that ships An operable-systems mindset, covering SLAs, observability, on-call rotations, and rollback plans The ability to break down complex problems, make pragmatic tradeoffs, and ship iteratively, backed by strong communication across product, design, and operations Bonus points for conversational AI or LLM orchestration experience, including speech technologies such as Deepgram, ElevenLabs, Whisper, or OpenAI Realtime Bonus points for working knowledge of cloud telephony or CPaaS platforms such as Twilio, Amazon Connect, Genesys, or LiveKit Bonus points for experience building customer service, CRM, contact center, or workflow automation tools Familiarity with travel industry technologies (PSS/GDS, hotel PMS/CRS) is a plus, though not required Perks And Benefits Of Working With Us Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages Hopper covers 100% of the premiums for the employee for a group insurance plan through Vitality Health Automatic contributions when you start with Hopper through Smart Pension Please ask us about our very generous parental leave, much above industry standards Access to co-working space on demand through FlexDesk and a work-from-home stipend Carrot Cash travel stipend Unlimited PTO Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams, massive impact About Hopper At Hopper, we are on a mission to become the leading travel platform globally, powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions, helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers, with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we've grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world's largest brands. Through HTS, our B2B division, the company supercharges its partners' direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company's recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS' channels every year. Our fintech products, including Cancel for Any Reason and Flight Disruption Assistance, have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking, and consumers are 1.6x more likely to repurchase if they add fintech to their booking versus if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper's fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the largest online travel agency in North America and 70% of our app customers are Gen Z and millennial travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us! This role utilizes automated decision-making systems to assess candidate suitability. Under local regulations, you have the right to understand the principal factors used in this assessment, request a correction of your data, or request a human review of any automated decision. To exercise these rights, please contact
Architect the platform that runs home life. We're hiring a Lead Backend Engineer to design a global, agentic-first platform for moving and home life. Fast enough for live voice. Reliable enough for agents to act on their own. 4M+ home movers a year in the UK 28M UK households to run $1T+ global market for home services We are looking for a truly world-class engineer who has seen what great looks like and can take ownership to build the foundations for a global agentic marketplace. The opportunity: OpenClaw meets Amazon, for your home. Moving is the second most stressful thing most people do, and the admin never stops. Jay is the personal AI that takes it off your plate. It sets the household up: energy, broadband, water, council tax, insurance and so much more, then keeps it running. It tracks renewals, finds the next deal, and grows with the customer from first rental to first mortgage, with credit and higher-value financial products next. People get back their time, save money and their peace of mind. Underneath Jay is the platform you'd architect. One side plugs into the property industry: letting agents, CRMs like Alto, deposit schemes, partners like OpenRent and IKEA UK, and the systems that already know someone is moving. The other plugs into hundreds of suppliers across every category a home needs. In the middle, one entity model and one API turn a move into services set up, switched and paid for, Stripe-like. UK first, then the world. Nobody has rebuilt this industry for AI. The comparison sites and incumbents still run on forms and call queues. The backend is where that changes. What you'll own: three things, end to end. The architecture. Households, properties, partners, suppliers and how they relate. State machines every order runs on, clear enough for an agent to act on. Contracts between domains, data, queues, infrastructure. You design it and you build it. Speed and reliability, designed in. Live voice needs sub-second reads and a platform that doesn't need babysitting. Latency budgets per domain, observability shipped with the feature, rollback rehearsed every release, small changes to production daily. You'll move live systems onto a modern stack without dropping anything. Agents as first-class customers. Permissioned access for Jay and partner agents to read and act, with idempotency, audit trails and a hard line around money. Config over code, so commercial teams change pricing without a deploy. How you work becomes how engineering works. How we build: a lead owns the outcome. Whatever stands between us and it is yours to clear. How we get there is written down, twelve principles in three parts: Think: Customer obsessed AI native Thinks big Mission before self Build: Master of craft Bias for action Delivers outcomes Builds out loud Together: True ownership Trustworthy Seeks and gives feedback Inspiring to work with Who thrives here: you should apply if You're a systems thinker first. How the parts interact, where failure hides, what breaks at ten times the volume. You've architected real systems end to end, more than once, and run them in production at the scale of millions of users. You take the edges seriously. Retries, idempotency, backpressure, the message that arrives twice. You raise everyone around you. The standard goes up on work you never touch. You are great to work with and will make work more joyful. You're AI-native at the frontier, and you set the practice for the team, from planning to evals. You're strong in TypeScript, productive in whatever a problem needs within days, and happiest thinking out loud with the team. Bonus points You've led a team, or worked in UK property or utilities. You've moved house in the UK and it made you angry. We want the specific story. You already have ideas about how it should work. Bring them to the first call. The team and the stack: who you'd build with. We're a B Corp, so the values are real. We're FCA regulated, so doing things properly in a regulated industry is part of how we build. And we're obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change some of it. The details Location: London, a few days a week in the office Pay: Cash competitive, plus equity Hours: Work hard, play hard. Crunch time means late nights and weekends. In general, great work-life balance. Reports to: Head of AI and Engineering Right to work: UK right to work required
Sep 20, 2026
Full time
Architect the platform that runs home life. We're hiring a Lead Backend Engineer to design a global, agentic-first platform for moving and home life. Fast enough for live voice. Reliable enough for agents to act on their own. 4M+ home movers a year in the UK 28M UK households to run $1T+ global market for home services We are looking for a truly world-class engineer who has seen what great looks like and can take ownership to build the foundations for a global agentic marketplace. The opportunity: OpenClaw meets Amazon, for your home. Moving is the second most stressful thing most people do, and the admin never stops. Jay is the personal AI that takes it off your plate. It sets the household up: energy, broadband, water, council tax, insurance and so much more, then keeps it running. It tracks renewals, finds the next deal, and grows with the customer from first rental to first mortgage, with credit and higher-value financial products next. People get back their time, save money and their peace of mind. Underneath Jay is the platform you'd architect. One side plugs into the property industry: letting agents, CRMs like Alto, deposit schemes, partners like OpenRent and IKEA UK, and the systems that already know someone is moving. The other plugs into hundreds of suppliers across every category a home needs. In the middle, one entity model and one API turn a move into services set up, switched and paid for, Stripe-like. UK first, then the world. Nobody has rebuilt this industry for AI. The comparison sites and incumbents still run on forms and call queues. The backend is where that changes. What you'll own: three things, end to end. The architecture. Households, properties, partners, suppliers and how they relate. State machines every order runs on, clear enough for an agent to act on. Contracts between domains, data, queues, infrastructure. You design it and you build it. Speed and reliability, designed in. Live voice needs sub-second reads and a platform that doesn't need babysitting. Latency budgets per domain, observability shipped with the feature, rollback rehearsed every release, small changes to production daily. You'll move live systems onto a modern stack without dropping anything. Agents as first-class customers. Permissioned access for Jay and partner agents to read and act, with idempotency, audit trails and a hard line around money. Config over code, so commercial teams change pricing without a deploy. How you work becomes how engineering works. How we build: a lead owns the outcome. Whatever stands between us and it is yours to clear. How we get there is written down, twelve principles in three parts: Think: Customer obsessed AI native Thinks big Mission before self Build: Master of craft Bias for action Delivers outcomes Builds out loud Together: True ownership Trustworthy Seeks and gives feedback Inspiring to work with Who thrives here: you should apply if You're a systems thinker first. How the parts interact, where failure hides, what breaks at ten times the volume. You've architected real systems end to end, more than once, and run them in production at the scale of millions of users. You take the edges seriously. Retries, idempotency, backpressure, the message that arrives twice. You raise everyone around you. The standard goes up on work you never touch. You are great to work with and will make work more joyful. You're AI-native at the frontier, and you set the practice for the team, from planning to evals. You're strong in TypeScript, productive in whatever a problem needs within days, and happiest thinking out loud with the team. Bonus points You've led a team, or worked in UK property or utilities. You've moved house in the UK and it made you angry. We want the specific story. You already have ideas about how it should work. Bring them to the first call. The team and the stack: who you'd build with. We're a B Corp, so the values are real. We're FCA regulated, so doing things properly in a regulated industry is part of how we build. And we're obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change some of it. The details Location: London, a few days a week in the office Pay: Cash competitive, plus equity Hours: Work hard, play hard. Crunch time means late nights and weekends. In general, great work-life balance. Reports to: Head of AI and Engineering Right to work: UK right to work required
Architect the platform that runs home life. We're hiring a Lead Backend Engineer to design a global, agentic-first platform for moving and home life. Fast enough for live voice. Reliable enough for agents to act on their own. 4M+ home movers a year in the UK 28M UK households to run $1T+ global market for home services We are looking for a truly world-class engineer who has seen what great looks like and can take ownership to build the foundations for a global agentic marketplace. The opportunity: OpenClaw meets Amazon, for your home. Moving is the second most stressful thing most people do, and the admin never stops. Jay is the personal AI that takes it off your plate. It sets the household up: energy, broadband, water, council tax, insurance and so much more, then keeps it running. It tracks renewals, finds the next deal, and grows with the customer from first rental to first mortgage, with credit and higher-value financial products next. People get back their time, save money and their peace of mind. Underneath Jay is the platform you'd architect. One side plugs into the property industry: letting agents, CRMs like Alto, deposit schemes, partners like OpenRent and IKEA UK, and the systems that already know someone is moving. The other plugs into hundreds of suppliers across every category a home needs. In the middle, one entity model and one API turn a move into services set up, switched and paid for, Stripe-like. UK first, then the world. Nobody has rebuilt this industry for AI. The comparison sites and incumbents still run on forms and call queues. The backend is where that changes. What you'll own: three things, end to end. The architecture. Households, properties, partners, suppliers and how they relate. State machines every order runs on, clear enough for an agent to act on. Contracts between domains, data, queues, infrastructure. You design it and you build it. Speed and reliability, designed in. Live voice needs sub-second reads and a platform that doesn't need babysitting. Latency budgets per domain, observability shipped with the feature, rollback rehearsed every release, small changes to production daily. You'll move live systems onto a modern stack without dropping anything. Agents as first-class customers. Permissioned access for Jay and partner agents to read and act, with idempotency, audit trails and a hard line around money. Config over code, so commercial teams change pricing without a deploy. How you work becomes how engineering works. How we build: a lead owns the outcome. Whatever stands between us and it is yours to clear. How we get there is written down, twelve principles in three parts: Think: Customer obsessed AI native Thinks big Mission before self Build: Master of craft Bias for action Delivers outcomes Builds out loud Together: True ownership Trustworthy Seeks and gives feedback Inspiring to work with Who thrives here: you should apply if You're a systems thinker first. How the parts interact, where failure hides, what breaks at ten times the volume. You've architected real systems end to end, more than once, and run them in production at the scale of millions of users. You take the edges seriously. Retries, idempotency, backpressure, the message that arrives twice. You raise everyone around you. The standard goes up on work you never touch. You are great to work with and will make work more joyful. You're AI-native at the frontier, and you set the practice for the team, from planning to evals. You're strong in TypeScript, productive in whatever a problem needs within days, and happiest thinking out loud with the team. Bonus points You've led a team, or worked in UK property or utilities. You've moved house in the UK and it made you angry. We want the specific story. You already have ideas about how it should work. Bring them to the first call. The team and the stack: who you'd build with. We're a B Corp, so the values are real. We're FCA regulated, so doing things properly in a regulated industry is part of how we build. And we're obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change some of it. The details Location: London, a few days a week in the office (Hybrid) Pay: Cash competitive, plus equity Hours: Work hard, play hard. Crunch time means late nights and weekends. In general, great work-life balance. Reports to: Head of AI and Engineering Right to work: UK right to work required
Sep 19, 2026
Full time
Architect the platform that runs home life. We're hiring a Lead Backend Engineer to design a global, agentic-first platform for moving and home life. Fast enough for live voice. Reliable enough for agents to act on their own. 4M+ home movers a year in the UK 28M UK households to run $1T+ global market for home services We are looking for a truly world-class engineer who has seen what great looks like and can take ownership to build the foundations for a global agentic marketplace. The opportunity: OpenClaw meets Amazon, for your home. Moving is the second most stressful thing most people do, and the admin never stops. Jay is the personal AI that takes it off your plate. It sets the household up: energy, broadband, water, council tax, insurance and so much more, then keeps it running. It tracks renewals, finds the next deal, and grows with the customer from first rental to first mortgage, with credit and higher-value financial products next. People get back their time, save money and their peace of mind. Underneath Jay is the platform you'd architect. One side plugs into the property industry: letting agents, CRMs like Alto, deposit schemes, partners like OpenRent and IKEA UK, and the systems that already know someone is moving. The other plugs into hundreds of suppliers across every category a home needs. In the middle, one entity model and one API turn a move into services set up, switched and paid for, Stripe-like. UK first, then the world. Nobody has rebuilt this industry for AI. The comparison sites and incumbents still run on forms and call queues. The backend is where that changes. What you'll own: three things, end to end. The architecture. Households, properties, partners, suppliers and how they relate. State machines every order runs on, clear enough for an agent to act on. Contracts between domains, data, queues, infrastructure. You design it and you build it. Speed and reliability, designed in. Live voice needs sub-second reads and a platform that doesn't need babysitting. Latency budgets per domain, observability shipped with the feature, rollback rehearsed every release, small changes to production daily. You'll move live systems onto a modern stack without dropping anything. Agents as first-class customers. Permissioned access for Jay and partner agents to read and act, with idempotency, audit trails and a hard line around money. Config over code, so commercial teams change pricing without a deploy. How you work becomes how engineering works. How we build: a lead owns the outcome. Whatever stands between us and it is yours to clear. How we get there is written down, twelve principles in three parts: Think: Customer obsessed AI native Thinks big Mission before self Build: Master of craft Bias for action Delivers outcomes Builds out loud Together: True ownership Trustworthy Seeks and gives feedback Inspiring to work with Who thrives here: you should apply if You're a systems thinker first. How the parts interact, where failure hides, what breaks at ten times the volume. You've architected real systems end to end, more than once, and run them in production at the scale of millions of users. You take the edges seriously. Retries, idempotency, backpressure, the message that arrives twice. You raise everyone around you. The standard goes up on work you never touch. You are great to work with and will make work more joyful. You're AI-native at the frontier, and you set the practice for the team, from planning to evals. You're strong in TypeScript, productive in whatever a problem needs within days, and happiest thinking out loud with the team. Bonus points You've led a team, or worked in UK property or utilities. You've moved house in the UK and it made you angry. We want the specific story. You already have ideas about how it should work. Bring them to the first call. The team and the stack: who you'd build with. We're a B Corp, so the values are real. We're FCA regulated, so doing things properly in a regulated industry is part of how we build. And we're obsessed with the customer, which is how we hold 4.9 on both Trustpilot and Google. The stack: TypeScript on the backend, Python and FastAPI for Jay, Next.js up front, AWS underneath, Claude Code woven through how we build. You won't have used all of it, and you'll change some of it. The details Location: London, a few days a week in the office (Hybrid) Pay: Cash competitive, plus equity Hours: Work hard, play hard. Crunch time means late nights and weekends. In general, great work-life balance. Reports to: Head of AI and Engineering Right to work: UK right to work required
Job Description Join us to shape the future of trading technology at JPMorganChase. As a leader, you will drive impactful solutions for the Global Commodities Exotics Desk, collaborating with top talent and business partners. You'll have the opportunity to influence strategy, deliver high-value outcomes, and foster a culture of innovation and excellence. Your work will empower traders and transform the way we deliver technology. Be part of a team where your leadership and vision make a difference. Join us to shape the future of trading technology at JPMorganChase. As a leader, you will drive impactful solutions for the Global Commodities Exotics Desk, collaborating with top talent and business partners. You'll have the opportunity to influence strategy, deliver high-value outcomes, and foster a culture of innovation and excellence. Your work will empower traders and transform the way we deliver technology. Be part of a team where your leadership and vision make a difference. As a Senior Director of Engineering in the Commercial & Investment Bank (CIB) Markets Technology team, you will lead the engineering organization responsible for front-office, desk-critical workflow and trading technology. You will set the vision and drive execution for end-to-end stack delivery, supporting the full trade lifecycle from execution to reporting. You will partner with Trading leadership, business management, Quants/Strats, and Functional leads to shape the technology roadmap and ensure production readiness. You will build and mentor a high-performing team, fostering a culture of ownership and excellence. Your leadership will directly impact the desk's success and innovation. Job Responsibilities Own the technology strategy for desk workflow and tooling, translating business priorities into actionable roadmaps. Partner with Traders, Desk Heads, Functional leads, Quants/Strats, and Operations to identify pain points and deliver value. Represent the desk technology organization in senior forums, driving alignment and securing commitments. Oversee end-to-end delivery across the SDLC, ensuring predictable execution and front-office responsiveness. Establish delivery rhythms and drive a production-first culture focused on observability, performance, and operational controls. Lead the design and delivery of integrated workflows, ensuring consistency and traceability across the trade lifecycle. Coordinate cross-team delivery for clean, aligned releases with strong change management. Set and enforce engineering standards for architecture, secure coding, testing, CI/CD, and incident response. Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments. Sponsor and lead resolution of complex production incidents and systemic issues. Required Qualifications, Capabilities, And Skills Deep expertise in software engineering, system design, testing strategy, operability, secure engineering, and performance. Experience in Commodities Front Office Technology, supporting Exotics/Commodities quant desks and trader workflows. Significant experience leading engineering teams and delivering end-to-end stack systems in production at scale. Demonstrated success partnering with Front Office/Trading stakeholders in high-urgency environments. Strong technical depth in Python (preferred) or ability to lead in a Python-based stack. Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), to define governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams. Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies. Proven ability to drive outcomes through multi-team dependencies and influence without authority. Preferred Qualifications, Capabilities, And Skills Experience integrating with booking, pricing, and risk ecosystems (e.g., Athena, SecDb, Quartz, RICE or equivalent). Track record delivering front-to-back workflow integrations across complex organizations. Strong experience with front-office UI/tooling (e.g., React/TypeScript) and automation for workflow-critical systems. Experience modernizing legacy estates and improving resilience, observability, and incident management. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Sep 15, 2026
Full time
Job Description Join us to shape the future of trading technology at JPMorganChase. As a leader, you will drive impactful solutions for the Global Commodities Exotics Desk, collaborating with top talent and business partners. You'll have the opportunity to influence strategy, deliver high-value outcomes, and foster a culture of innovation and excellence. Your work will empower traders and transform the way we deliver technology. Be part of a team where your leadership and vision make a difference. Join us to shape the future of trading technology at JPMorganChase. As a leader, you will drive impactful solutions for the Global Commodities Exotics Desk, collaborating with top talent and business partners. You'll have the opportunity to influence strategy, deliver high-value outcomes, and foster a culture of innovation and excellence. Your work will empower traders and transform the way we deliver technology. Be part of a team where your leadership and vision make a difference. As a Senior Director of Engineering in the Commercial & Investment Bank (CIB) Markets Technology team, you will lead the engineering organization responsible for front-office, desk-critical workflow and trading technology. You will set the vision and drive execution for end-to-end stack delivery, supporting the full trade lifecycle from execution to reporting. You will partner with Trading leadership, business management, Quants/Strats, and Functional leads to shape the technology roadmap and ensure production readiness. You will build and mentor a high-performing team, fostering a culture of ownership and excellence. Your leadership will directly impact the desk's success and innovation. Job Responsibilities Own the technology strategy for desk workflow and tooling, translating business priorities into actionable roadmaps. Partner with Traders, Desk Heads, Functional leads, Quants/Strats, and Operations to identify pain points and deliver value. Represent the desk technology organization in senior forums, driving alignment and securing commitments. Oversee end-to-end delivery across the SDLC, ensuring predictable execution and front-office responsiveness. Establish delivery rhythms and drive a production-first culture focused on observability, performance, and operational controls. Lead the design and delivery of integrated workflows, ensuring consistency and traceability across the trade lifecycle. Coordinate cross-team delivery for clean, aligned releases with strong change management. Set and enforce engineering standards for architecture, secure coding, testing, CI/CD, and incident response. Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments. Sponsor and lead resolution of complex production incidents and systemic issues. Required Qualifications, Capabilities, And Skills Deep expertise in software engineering, system design, testing strategy, operability, secure engineering, and performance. Experience in Commodities Front Office Technology, supporting Exotics/Commodities quant desks and trader workflows. Significant experience leading engineering teams and delivering end-to-end stack systems in production at scale. Demonstrated success partnering with Front Office/Trading stakeholders in high-urgency environments. Strong technical depth in Python (preferred) or ability to lead in a Python-based stack. Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), to define governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams. Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies. Proven ability to drive outcomes through multi-team dependencies and influence without authority. Preferred Qualifications, Capabilities, And Skills Experience integrating with booking, pricing, and risk ecosystems (e.g., Athena, SecDb, Quartz, RICE or equivalent). Track record delivering front-to-back workflow integrations across complex organizations. Strong experience with front-office UI/tooling (e.g., React/TypeScript) and automation for workflow-critical systems. Experience modernizing legacy estates and improving resilience, observability, and incident management. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
SVP - GenAI Full-Stack Engineer LeadApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.We're looking for a hands-on engineering lead with a passion for building AI-powered products and shaping engineering culture. You'll provide technical leadership while remaining close to the code, partnering with teams across the organisation to build scalable developer platforms, influence engineering strategy and drive the adoption of Generative AI and modern engineering practices. Key Responsibilities Drive the design and delivery of enterprise-scale applications supporting critical business functions and large user populations. Remain hands-on with software architecture, system design, code reviews and engineering decision-making. Set technical direction across full-stack ecosystems spanning frontend, backend, APIs, cloud services and platform components Partner with senior technology and business stakeholders to align platform strategy with organisational priorities. Deliver high-profile, business-critical programmes with significant operational and executive visibility. Champion engineering excellence, DevSecOps principles, platform engineering and continuous improvement. Mentor engineering managers, principal engineers and senior engineers, building a culture of technical excellence and accountability. Drive adoption of developer platforms, automation capabilities and enterprise engineering standards across multiple teams. Skills & Experience Proven experience leading software engineering organisations in a hands-on technical capacity. Strong software engineering expertise across modern languages and frameworks, including experience coding in one or more of: Python, Go, TypeScript, JavaScript or React. Experience delivering AI-enabled or Generative AI solutions within enterprise environments. Experience building enterprise-scale cloud-native applications using Kubernetes, containers, microservices and event-driven architectures. Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering. Strong knowledge of SQL and NoSQL technologies, API design and integration patterns. Excellent communication and stakeholder management skills with the ability to influence technology decisions across numerous teams and organisations. Growth mindset with a passion for mentoring, coaching and developing technical talent. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Sep 10, 2026
Full time
SVP - GenAI Full-Stack Engineer LeadApplyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.We're looking for a hands-on engineering lead with a passion for building AI-powered products and shaping engineering culture. You'll provide technical leadership while remaining close to the code, partnering with teams across the organisation to build scalable developer platforms, influence engineering strategy and drive the adoption of Generative AI and modern engineering practices. Key Responsibilities Drive the design and delivery of enterprise-scale applications supporting critical business functions and large user populations. Remain hands-on with software architecture, system design, code reviews and engineering decision-making. Set technical direction across full-stack ecosystems spanning frontend, backend, APIs, cloud services and platform components Partner with senior technology and business stakeholders to align platform strategy with organisational priorities. Deliver high-profile, business-critical programmes with significant operational and executive visibility. Champion engineering excellence, DevSecOps principles, platform engineering and continuous improvement. Mentor engineering managers, principal engineers and senior engineers, building a culture of technical excellence and accountability. Drive adoption of developer platforms, automation capabilities and enterprise engineering standards across multiple teams. Skills & Experience Proven experience leading software engineering organisations in a hands-on technical capacity. Strong software engineering expertise across modern languages and frameworks, including experience coding in one or more of: Python, Go, TypeScript, JavaScript or React. Experience delivering AI-enabled or Generative AI solutions within enterprise environments. Experience building enterprise-scale cloud-native applications using Kubernetes, containers, microservices and event-driven architectures. Strong understanding of distributed systems, resiliency patterns, scalability and performance engineering. Strong knowledge of SQL and NoSQL technologies, API design and integration patterns. Excellent communication and stakeholder management skills with the ability to influence technology decisions across numerous teams and organisations. Growth mindset with a passion for mentoring, coaching and developing technical talent. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesVisit our About Us Culture, Values & Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
