267 jobs found

London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs

Senior Software Engineer, Mobile Cloud - Manchester, United Kingdom Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About The Role Millions of people around the globe rely on our products every day because they "just work," seamlessly integrating into users' lives. Achieving that intuitive user experience isn't accidental-it's crafted by dedicated teams committed to simplicity and clarity. We're seeking a Senior Software Engineer (Backend) who excels at building scalable, reliable services. Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you're passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we'd love for you to join us. We collaborate closely with client-side engineers, other backend teams, and product management, iterating rapidly-from prototypes and A/B tests through to global releases. About The Team You will be joining a talented, high-performant backend team with a history of delivering quality products. We are looking for someone who can help us keep up this pace and continue delivering high-quality services as we grow. What You'll Do Design and develop scalable, high-performance backend services powering Roku mobile apps. Build and maintain robust APIs and microservices integrating seamlessly with mobile clients and cloud infrastructure. Develop and optimize a highly efficient auto-scaling platform utilizing Docker containers and Kubernetes orchestration. Ensure reliability and uptime of backend systems through comprehensive monitoring, testing, and automation. Troubleshoot and resolve complex technical challenges within production environments swiftly and effectively. Continuously assess and implement emerging technologies to boost system performance and developer productivity. Collaborate cross-functionally with product, design, frontend, and other backend teams, driving seamless integration, consistency, and exceptional user experiences. Expertise of backend software engineering Bachelor's or master's degree in computer science, engineering, or related field (or equivalent experience). Strong proficiency in backend languages like Java or Python. Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Demonstrable experience designing, building, and maintaining RESTful APIs, utilizing HTTPS, JSON, and WebSocket. Hands-on expertise developing and operating large-scale cloud services using Docker and Kubernetes. Proven capability in writing and maintaining comprehensive automated unit and integration tests. Deep understanding of distributed systems, microservices architecture, and database technologies. Familiarity with CI/CD pipelines, Test-Driven Development (TDD), and automation frameworks. Skilled in production system monitoring, troubleshooting, and issue resolution. Exceptional problem-solving skills focused on delivering efficient, practical solutions. Strong communication abilities, adept at working effectively with both technical and non-technical stakeholders. A proactive and driven mindset, capable of independently managing tasks from inception to completion. Ability to thrive in a dynamic, fast-paced environment, adeptly managing shifting priorities. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Overview As a Lead Architect at JPMorgan Chase within the Corporate Investment Bank Information Architecture team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. You will play a crucial role in delivering, maintaining, and promoting the adoption of standards, components, processes, and tools that support the broader function of Data Management. Additionally, you will have the opportunity to collaborate with Corporate Investment Bank Technology, Global Technology, and other Lines of Business to develop contemporary and innovative engineering methods. Job Responsibilities Actively engage with development teams to use, develop, and improve Information Architecture standards, tools, and processes as part of the development process. Provides feedback and proposes improvements to architecture governance practices. Collaborate to create, maintain, govern, and use Controlled Vocabularies with Business Partners and the Chief Data Office. Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Drives decisions that influence product design, application functionality, and technical operations and processes. Serves as a function-wide subject matter expert in one or more areas of focus. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Adds to team culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Hands on practical experience delivering system design, application development, testing, and operational stability. Software Engineering experience in a data centric role with exposure to how data is stored, moved, governed, and/or validated/cleaned using Programming Languages such as Java, JavaScript, or Python. Experience in Data Modelling and Architecture tools such as ERwin, Power Designer, and/or Magic Draw or wider use of UML tools or IDEs that integrate modeling tools such as Eclipse. Advanced knowledge of software architecture, applications, and technical processes with considerable in depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture. Knowledge of some Data Management technologies such as Relational and Columnar Databases, and/or Data Integration (ETL) or API development. Knowledge of some Data Formats such as JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience collaborating with business and technical teams to understand, translate, review, and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript, or Python. Adds to team culture of diversity, opportunity, inclusion, and respect. Preferred Qualifications, Capabilities, and Skills Knowledge of Programming Language Design and Implementation. Management, Data Quality, Metadata Management, Data Taxonomy and Classification, and Security and Protection. Knowledge of Financial Services, specifically Wholesale and Investment Banking. Experience in other Data Standards (preferably Financial) such as SWIFT, FIX, or FpML. Knowledge and experience of Software Engineering Methodologies (e.g., Agile). A willingness to bring an outside perspective to the team, ask questions, and learn from the breadth and depth of experience of the current IA team. An ability to envisage and compare potential solutions prior to implementation. Equal Employment Opportunity Statement 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.

About this role Capital One's mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for a Lead Software Development Engineer to join a backend team, based in our Nottingham office on a hybrid basis. Our Engineers are people who lead by example, build strong and valuable relationships and have the confidence to influence at all levels. We are proud of who we are and what we do and want you to join us at this particularly exciting time at Capital One. What you'll do You will lead a team or cross functional squad in the delivery of complex and ambiguous projects that support a broader business outcome. You will take end to end responsibility for technical design, implementation, and operational considerations. Collaborate with engineers, architects, product owners, and stakeholders to ensure successful project outcomes. You will play a crucial role in supporting the elevation of engineering enablement, excellence, and experience across the broader engineering community. You will collaborate and contribute to the development and dissemination of standardised and sustainable best practices, tools, patterns, and frameworks that enhance the productivity and quality of engineering efforts business wide. Your focus is on a major portion of existing or new team software (e.g., significant component, set of features, mid size application or service). You'll work to achieve the goals and vision shared by Product Management and your Tribe Leadership. Innovate within your team, initiative area and contribute within your technical domain. What we're looking for Proven experience in technical leadership, including leading a team or cross functional squad. Proven experience working in both backend services and mobile technologies. Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST. Experience with AWS and strong understanding of cloud based development. Extensive, demonstrable knowledge of designing architectures that are secure and perform at scale. You're able to effectively communicate and work collaboratively across engineering to maximise inner sourcing opportunities and reduce waste. Proven experience ability to deliver high quality applications at scale. An advocate for quality and the ability to support the team, leveraging approaches such as Pair Programming, TDD and BDD. Where and how you'll work This is a permanent position and will be based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this and you'll be rewarded with a role contributing to the product roadmap for an organisation committed to transformation. We're continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve. We love continuous learning and that's why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season ticket loans, cycle to work scheme and enhanced parental leave. Open plan workspaces and facilities designed to inspire and support you. Our Nottingham head office has a fully serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee cafe.

Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details

Locations: Guildford, Surrey, United Kingdom Role ID 215727 Worker Type Regular Employee Studio/Department CT - Security Work Model Hybrid Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. We are seeking a Senior Detection Engineer to advance our detection engineering strategy within the Enterprise Security team. This role is essential to safeguarding EA's cloud and production environments will directly impact our ability to detect, respond to, and prevent cyber threats at scale. As a senior individual contributor reporting to the Director of Threat Intelligence and Detections, you will play a central role in the technical leadership of the Detection Engineering team. You'll mentor junior engineers, help define engineering direction, and lead the development of scalable threat detection solutions, including those applying AI and cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development of AI-driven detection proof-of-concepts Guide peers in building scalable, maintainable detection infrastructure and tuning detection content. Support priorities like product detection assessments, threat-led risk prioritization, and production telemetry uplift. Minimum Qualifications Experience in detection engineering, security engineering, or software development with a focus on cybersecurity. Experience developing detections and integrations within SIEM platforms (e.g., Splunk, Elastic, QRadar), use of Risk-based alerting Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, Cyber Kill Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans in a complex security ecosystem. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

About Us SharkNinjais a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeople's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proventrack recordof bringing disruptive innovation to market and developing one consumer product after another has allowedSharkNinjato enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than4,100associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. About the Role The Principal Software Engineer, Mobile is SharkNinja's deepest technical authority on mobile engineering - the person others come to when the patterns don't exist yet. You'll define the architectural standards and engineering principles that shape mobile across SharkNinja's connected product ecosystem, including SharkClean, NinjaPro Connect, and the next-generation unified app platform. You'll tackle the most complex technical challenges at the intersection of mobile, firmware, cloud, AI, and consumer experience - exercising independent judgment on high-stakes, ambiguous decisions with long-term implications. This is an IC role. Your authority comes from expertise and trust, not headcount. What You'll Own Solve the Hardest Technical Problems Own SharkNinja's most complex, non-recurring mobile challenges - spanning native iOS/Android, cross-platform frameworks, cloud integration, device connectivity, and AI-driven development. Make and defend high-stakes architecture and technology decisions with long-term impact on platform reliability and engineering velocity. Define Technical Standards and Architecture Set and evolve mobile engineering standards - architecture patterns, cross-platform strategy, testing philosophy, and production-readiness criteria. Define integration patterns across mobile, cloud, firmware, and connected devices, and drive React Native vs. native platform strategy. Evaluate emerging technologies and AI coding tools, forming clear technical points of view. Lead Technical Thought Leadership Serve as SharkNinja's go-to authority on mobile engineering across Mobile, Firmware, Cloud, Hardware, Product, and Design. Lead design reviews and communities of practice that raise engineering quality org-wide. Elevate Engineering Capability Mentor senior and staff engineers through proximity to hard problems. Build reusable frameworks, reference architectures, and documentation that outlast any single project. Champion AI-driven development workflows across the mobile org. Advance AI-Ready Mobile Architecture Define how the mobile platform integrates with AI - on-device inference, AI-powered features, and data contracts connecting mobile to cloud-based AI services. Solve mobile/AI integration challenges with no established playbook, ensuring the platform is built for the AI-powered features SharkNinja will ship next. What You'll Bring 12+ years of progressive software engineering experience, with deep expertise in native iOS (Swift), Android (Kotlin), and React Native. A track record of solving the hardest mobile engineering problems - architecture, cross-platform unification, consumer-scale reliability - with measurable impact at scale. Deep expertise in mobile-to-cloud integration, BLE/Wi-Fi connectivity, and the full stack from firmware interfaces through cloud services. Recognized technical authority, sought out when the stakes are highest. Proven ability to set engineering standards and frameworks that scale across teams. Strong cross-functional influence built on technical credibility, not positional authority. Excellent written and verbal communication, translating complex decisions for leadership and business stakeholders. Preferred: Rust/C/C++ for cross-platform or performance-critical work; connected product/IoT/robotics/smart home background; AI-integrated mobile architecture experience (on-device ML, AI-assisted dev, LLM interfaces); experience with platform unification or large-scale architectural transitions; consumer electronics or robotics background. Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice. For candidates based in China, please refer to this Candidate Privacy Notice. For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at

Join our growing FinTech Engineering team! We're recruiting another Software Engineering Team Lead to join Asset Sales team. The Impact Your architecture will directly shape how millions of people access credit for the first time. We've already served 10 million customers and unlocked more than $2 billion in credit since we began. Every system you design, every engineer you develop, and every decision you make contributes to a platform that's quite literally transforming financial inclusion across an entire continent The Opportunity Mission-driven engineering: Your daily work enables affordable smartphones, digital loans, and financial services for Africa's Every Day Earners - people for whom traditional finance simply doesn't work. Global recognition: Join a FinTech company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing company for five consecutive years (). Scale that matters: You'll be architecting systems that process over 2 million payments daily across five markets - and building for the next 10 million customers. Environmental impact: We're carbon-negative, having avoided 2.155 million tonnes of CO emissions across our product portfolio. What You'll Do At M-KOPA, you'll lead a team of backend engineers through both greenfield and legacy projects, owning the full software lifecycle from design ideation through to production and eventual decommissioning. Our engineering teams work under a true DevOps culture - with infrastructure as code, observability, automated testing, and continuous delivery treated as first-order concerns, not afterthoughts. You'll set architectural direction, partner closely with your Product Manager counterpart on roadmap planning and prioritisation, and serve as a servant leader who grows the people around you while shipping high-quality, impactful software. Technical Environment Languages & frameworks: C#/.NET Cloud: We work in Azure, and welcome experience across AWS or GCP Architecture: Event-driven systems and microservice development - we use Azure Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Infrastructure: Kubernetes, Docker Observability: Prometheus, Grafana Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery Our Engineering Approach Full ownership: Teams own their solutions end-to-end - from inception through production support to decommissioning. Servant leadership: We lead by coaching and enabling, not directing. Quality by default: Observability, monitoring, and automated testing are built in from day one. Continuous improvement: We foster a culture of innovation within a supportive, dynamic team environment. Product partnership: Engineering and Product work as genuine counterparts - planning together, prioritising together, delivering together. What You Need We're looking for an experienced, low-ego engineering leader who brings both technical depth and a genuine passion for growing people. Required Experience Strong hands-on background in C#/.NET backend development Proven experience with Azure, AWS, or GCP - we work in Azure but welcome experience across major cloud providers Solid understanding of event-driven architecture and microservice development - we use Azure Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Experience leading or mentoring engineers in a collaborative team environment Ability to set technical direction and provide architectural guidance Comfortable working with Product to shape roadmaps and drive delivery The Team You'll lead a close-knit, focused engineering team with real end-to-end ownership over a significant part of the M-KOPA platform. You'll have a dedicated Product Manager as your counterpart and operate with genuine autonomy over technical direction. Location & Benefits Fully remote role in UK and parts of Europe within UTC -1 to UTC +3 time zones Work with diverse teams across the UK, Europe, and Africa Professional development programmes and coaching partnerships Family-friendly policies and flexible working arrangements Well-being support and genuine career growth opportunities Our Mission We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities. Our Impact Our technology has created measurable change: Connected: 2.5 million first-time smartphone users connected to the mobile internet Prosperous: 70% of customers use M-KOPA products for income generation, with 35,000 livelihoods created for agents Green: 2.155 million tonnes of CO avoided through clean energy and circular economy products, with over 127,700 circular economy products provided M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references. Find Jobs in United Kingdom on Arbeitnow Important Notice Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC's World's Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya.

Director, Global Service Delivery (f/m/d) - EMEA Based Job ID 517466 Posted since 12-Aug-2026 Organization Field of work Information Technology Company Siemens Industry Software GmbH Experienced Professional Job type Full-time Hybrid (Remote/Office) Employment type Permanent Location(s) Farnborough - Hampshire - United Kingdom Hamburg - Hamburg - Germany London - London City of - United Kingdom We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. The Director, Global Service Delivery (SD) is a senior leadership role within Global Engineering Services (GES), part of Siemens' Global Technologies & Infrastructure (GTI) organization. This role owns the end-to-end delivery of engineering support services across three global regions - Americas, EMEA, and APAC - serving approximately 17,000 software engineers worldwide. The Director is accountable for service quality, regional consistency, people leadership, and the ongoing transformation of the SD function. KEY RESPONSIBILITIES Strategic Leadership Define and execute the global Service Delivery strategy aligned with GES and GTI priorities. Set the vision, operating model (Follow-the-Sun), and performance standards for SD across all three regions. Lead the annual planning cycle for SD: headcount, budget, initiatives, and OKRs. Represent the SD function at GES leadership reviews, executive briefings, and cross-functional forums. Drive continuous improvement in service delivery maturity, tooling, and process standardization. Operational Excellence Own the end-to-end SLO/SLA framework for the SD function globally; ensure targets are met and reported. Partner with the Global Operations Excellence (GOE) team to enforce standards, monitoring, and governance. Ensure all regions are aligned on tooling, processes, CMDB accuracy, and asset management practices. Oversee the successful delivery of global programmes (e.g., PCD migration, device refresh, CMDB clean-up etc). Identify operational risks and blockers across regions; escape and resolve proactively. Directly lead three Regional SD Leads (Americas, EMEA, APAC) and maintain accountability for the full SD organization. Build a high-performing, engaged, and geographically distributed team; develop regional leaders and successors. Drive talent reviews, performance management, and calibration across the SD function. Champion a culture of accountability, customer focus, and continuous improvement. Stakeholder & Cross-Functional Engagement Serve as the primary SD point of contact for peer GTI functions. Build and maintain strong relationships with key business stakeholders. Collaborate with regional SD leads and managers to address customer escalations and service issues. Provide regular operational reporting to the Senior Director, GES and GTI leadership. Engineering Segments Engagement Own the customer relationship between GES and engineering segments globally; serve as the primary point of contact for segment leads regarding infrastructure, service quality, and engineering productivity. Establish and maintain a regular engagement cadence with segment representatives to understand development pipeline needs, CI/CD tooling requirements, and environment pain points. Proactively identify opportunities to improve developer productivity and engineering experience - including build performance, environment stability, tooling access, and onboarding friction. Collaborate with SD Leads, GOE, and Architecture & Standards teams to translate segment feedback into actionable service improvements and capacity planning inputs. Track and report on segments satisfaction, developer productivity trends, and GES contribution to engineering velocity - escalate where GES environment is a constraint on delivery. QUALIFICATIONS & EXPERIENCE Required Extensive relevant experience in infrastructure management, service delivery, or technology operations, with a significant portion of that time spent in senior leadership - managing global or multi-regional teams at scale. Proven track record leading large, geographically distributed teams across multiple countries and regions. Deep understanding of ITSM frameworks (ITIL) and IT governance practices (COBIT or equivalent). Strong experience managing budgets, headcount planning, and resource allocation at a global scale. Demonstrated ability to drive transformation programmes and change across complex organizations. Experience operating in a matrixed, multinational corporate environment. Excellent written and verbal communication skills in English; comfortable presenting to executive audiences. Sound understanding of asset management practices, including CMDB governance, hardware lifecycle management, and software asset inventory at enterprise scale. Demonstrable knowledge of data center operations and management, including RDC/colocation environments, capacity planning, and infrastructure governance. Working knowledge of server and storage technologies, including enterprise server platforms, SAN/NAS storage, and backup/recovery frameworks. Familiarity with vulnerability management processes, including risk prioritization, remediation tracking, and coordination with information security teams to ensure compliance. Familiarity with software development practices and the software development lifecycle (SDLC); ability to engage credibly with engineering and development teams on environment and tooling requirements. Working knowledge of CI/CD concepts and common pipeline patterns; exposure to CI/CD platforms, sufficient to understand engineering dependencies and environment requirements. Understanding of developer workflow tooling and environment needs - including source control, build systems, artifact management, and test infrastructure - as they relate to GES infrastructure provisioning and support. Preferred Background in software engineering, or large-scale enterprise Technology environments. Hands-on or oversight experience with virtualization technologies (VMware ESXi, OpenStack, or equivalent platforms). Experience with high-performance or grid computing environments - including job scheduling, compute cluster management, and distributed compute platforms. Understanding of enterprise networking concepts, sufficient to oversee network-dependent service delivery. Experience working with or transitioning to cloud-managed or hybrid infrastructure models. Prior experience in a software engineering, DevOps, or platform engineering role - or significant direct collaboration with software development teams; comfort discussing CI/CD pipelines, build performance, and developer environment requirements. EDUCATION Degree - Required Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Software Engineering, or a closely related technical discipline. Degrees in other disciplines will be considered where accompanied by strong relevant experience. Advanced Education - Preferred Master's degree in Computer Science, Information Technology, Engineering Management, or an MBA with a technology focus. CERTIFICATIONS IT Service Management & Governance - Preferred ITIL v4 Foundation - required; Managing Professional or Strategic Leader tracks highly valued. COBIT 2019 Foundation or Practitioner - IT governance and control framework knowledge. ISO 27001 Lead Implementer or Auditor - advantageous for security governance oversight. PMP (Project Management Professional) - PMI. PRINCE2 Practitioner or PRINCE2 Agile. LOCATION & TRAVEL This is a global role with flexibility on base location. Regular international travel to regional sites and team face-to-face meetings is expected. REPORTING STRUCTURE Reports to: Senior Director, Global Engineering Services (GES) Direct reports: Regional SD Leads - Americas, EMEA, APAC Functional scope: Full global SD organization Why us? A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we Work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! The primary locations for this opportunity are Germany, UK and Ireland. The applicable salary ranges for these locations are: 117,600 Min - 205,900 Max EUR (Germany) 100,300 Min - 175,400 Max GBP (UK) 109,400 Min - 196,700 Max EUR (Ireland) This role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills . click apply for full job details

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Senior Architect or equivalent role carrying product-shaping responsibility. A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole. Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room. Product Understanding - Not Just Technical Understanding prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet. Genuine customer orientation: asking what problem the customer has before asking how to build the feature. Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one. The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context. Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found. An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive. Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution. Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment. Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause. Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database. AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping. Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions. Bonus Points Background in email security, threat detection, DLP, identity, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches. Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS. What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars. Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane. Senior peers: a small, high-trust Architecture Leadership Team where everyone operates at a high level. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience. 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role. A track record of product-shaping responsibility, not just technical delivery. Active, daily use of AI development tools in a professional setting - not experimentation, practice. Equal Opportunity Statement Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. Commitment to Diversity and Inclusion We're proud to be an Equal Opportunity and Aff We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver - and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose . click apply for full job details