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hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description Wise is on a mission to facilitate borderless transactions - instant, transparent, and eventually free. Behind our seamless customer experience is a complex system of services that process over $100 billion annually for 16+ million customers worldwide. As we scale to serve millions more customers, reliability isn't just a technical concern, it's core to customer trust and business performance. The Platform Engineering Tribe: We are the backbone of Wise's technical infrastructure, ensuring everything runs smoothly for our customers and engineering teams. Our Reliability squad combines expertise in systems availability and uptime, monitoring performance metrics, and developing robust applications, to create a resilient platform that our customers can depend on 24/7/365. Our impact is indirect but critical: when Platform works well, every product team ships faster, safer, and at lower cost. We operate around four north-star KPIs: Productivity, Cost Efficiency, Risk, and Reliability. This role is responsible for reliability. The Role: In this role, you will partner with senior engineering and product leaders to bring clarity to reliability: what it means in practice, how we measure it, and where we need to improve. You will connect low-level system signals: incidents, performance, failure modes, to their impact on customers and the business, and use that understanding to shape decisions. You'll play a key role in ensuring reliability is built into how we design and operate systems from the outset, not treated as an afterthought. This includes identifying where we are falling short, highlighting the most important risks, and influencing how teams invest their time between building new capabilities and strengthening existing systems. Success in this role means that: Reliability improves in measurable ways across the platform Teams make better, more informed decisions because of your work Leadership has a clear, consistent view of reliability and its impact on customers This is a role for someone who combines analytical depth with strong judgement and a bias for impact: someone who wants to shape outcomes, not just describe them. About You: We're looking for someone who is obsessed with moving metrics, not just analysing them. We care far more about what you changed than what you built. You might be a strong analyst, product-minded data scientist, or even an ex-engineer, but what matters most is that you: Take ownership of outcomes, not just outputs Are comfortable operating in ambiguity and shaping problems Influence senior stakeholders without formal authority Care about real-world impact more than perfect models How You'll Work: Own the Reliability metrics end-to-end: definition, measurement, targets, and progress Partner deeply with engineering: understand systems, incidents, and trade-offs Drive decisions: bring clarity to complex problems and push for action Balance short vs long-term: incidents vs systemic improvements Create leverage: frameworks, dashboards, and narratives that scales Technical Expectations: Excellent SQL proficiency and experience with data visualization tools like Looker, Grafana, Lightdash, or Superset Ability to build and manage data pipelines that are modularised and scalable, using tools like DBT and Airflow Familiarity with observability/reliability concepts (SLIs, SLOs, incidents) Some experience with Python / data transformation (DBT, etc.) is helpful This is not a data engineering role, depth in pipelines is less important than impact on decisions. Why Should You Join Our Team? Own a company-level KPI: not a dashboard, but a real outcome High leverage: your work affects hundreds of engineers and millions of customers Complex, meaningful problems: distributed systems, real-time failures, trade-offs at scale Influence without authority: work directly with senior engineering leadership Benefits: Salary: £60,000-£85,000 Competitive stock options in a profitable company Flexible working conditions tailored to support a balance between work and personal life Annual budget for personal and professional development Additional Information Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. Commitment to Diversity: Wise is dedicated to fostering a diverse and inclusive workplace. We strongly encourage applications from all backgrounds and are committed to providing equal opportunity in our employment practices. If you're passionate about using your analytical skills to enhance platform reliability within a leading international financial services company, apply now to join us at Wise! Good Reads: Platform Engineering KPIs Scaling our infrastructure at Wise: how we make it work Wise's Tech Stack 2025 Measuring meaningful availability / uptime of Wise Why Observability is a must for product engineering teams Grafana Mimir Compaction: From Bottleneck to Savings For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. We're Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. We are looking for a Lead Platform Engineer (backend python focus) to join our Group Data Science function, to lead and trailblaze the development and building of software platforms. Working across our retail banners and group functions, you will build platform roadmaps that will minimise time to value, maximise long term effectiveness and ultimately help us achieve our commercial goals. Collaborate with Tech, Product and Data teams to develop the engineering platforms that allow us to apply and embed the use of data science directly in our products and processes Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results Support the Data Science Leadership Team in developing a "data culture" and demonstrating the value of data in our decision-making Provide technical leadership and support for the junior members of the team Excellent knowledge and experience in Django and Python backend Excellent understanding of computer science fundamentals and machine learning Proven experience of delivering several high-quality software products and experience of productionisation Proven experience of developing cloud-based services using one or more cloud providers (preferably GCP) Strong management and leadership skills - including the ability to build, organise, motivate, mentor and manage a Platform Engineering team that supports a diverse range of initiatives Sensitivity and excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority How We Work We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. We value the perspectives new team members bring and encourage you to apply - even if you don't meet 100% of the requirements. What We Offer An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. Diversity & Inclusion Our customers come from all walks of life - and so do we. We're committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. Interested? Great, apply now and help us to Power the Possible.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in. As an Applied AI ML Senior Associate in LLM Suite Engineering, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Collaborate with senior engineers and participate in design discussions Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Collaborate openly with the team, seek feedback, and apply it to improve outcomes Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands-on experience with system design, application development, testing, and operational stability Strong understanding of the Software Development Life Cycle Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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 Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. Position We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands on experience delivering applied machine learning and statistical modelling in real world settings. Internally, you will act as a data science standard setter, helping define best practice, raising the quality bar, and developing others within the team. Scope of Work Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data led solutions. Autonomous AI (Emerging): Agent based systems and AI workflows, used selectively where they add clear value. 75-80% of the role is focused on Data Science led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. Core Responsibilities Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring. Translate ambiguous business problems into hypothesis driven data science solutions, grounded in statistical rigour and practical feasibility. Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable. Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility. Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management. Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value. Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision making at senior levels. Manage delivery timelines, risks, and priorities across engagements. Set the standard for data science excellence, including coding standards, documentation, and best practices. Mentor junior team members, supporting their development as data scientists. The most important requirement for this role is proven, hands on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end to end machine learning or statistical solutions in real world environments. Requirements 5+ years' experience in Data Science or applied machine learning, ideally in consulting, high growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production quality, maintainable code. Experience with modern data science tooling, including: Version control (Git) Cloud platforms (AWS, GCP, or Azure) Experiment tracking and model management Workflow orchestration and containerisation Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management. Proven ability to translate business problems into data science solutions that deliver measurable outcomes. Beneficial Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise. Awareness of emerging AI paradigms (e.g. agent based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you. JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs. Other information Discretionary bonus - based on personal and company performance 25 days annual leave + bank holidays Pension with a company contribution up to 8% Health Insurance from day 1 Life insurance and long term disability insurance Market leading parental leave policy Salary Sacrifice Nursery Scheme through YellowNest Salary Sacrifice EV Scheme with Octopus Vehicles Additional Health Cash Plan with MediCash Cycle to work scheme Re ferral bonus for bringing in new JMAN hires Extensive training and coaching opportunities Regular company socials and retreats Hybrid working - minimum of 3 days in the office (E3N)

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML & Data Platforms group, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. Job responsibilities Leads technology and process implementations to achieve functional technology objectives Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Makes decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Delivers technical solutions that can be leveraged across multiple businesses and domains Influences peer leaders and senior stakeholders across the business, product, and technology teams Champions the firm's 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 Experience working at code level Formal training or certification on software engineering concepts and 10+ years applied experience Extensive experience in building and running AWS/public cloud based applications Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Experience developing or leading cross-functional teams of technologists Experience with hiring, developing, and recognizing talent 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join our dynamic team of diverse professionals from top tech giants, blockchain innovators, and FinTech unicorns. We're looking for an experienced Service Designer to shape customer experiences across channels. Use your expertise in service design and systems thinking to lead key initiatives, collaborate with diverse teams, and enhance customer satisfaction. Your strategic insights and guidance will be crucial in delivering exceptional service experiences. Job responsibilities Develop and implement a comprehensive service strategy to focus on direct and indirect experiences, aligning business objectives and customer experience enhancement across multiple products and platforms Develop clear future state service propositions, journeys, and concepts that deliver value to customers and the business Partner with Product, Design, Engineering, Operations, Customer Support, Risk & Compliance, Legal, and Data to shape end to end service experiences across channels and touchpoints Work with UX Research and Data to plan, conduct, and synthesise research to inform and validate service design deliverables Lead cross-functional teams to create storyboards, service blueprints, and research to identify pain points and opportunities for improvement Design service blueprints and document processes and touchpoints and incorporate inclusive design principles for seamless experiences Create experience maps and service prototypes to illustrate customer journeys, with an iterative mindset for continuous refinement Collaborate with stakeholders and product partners to integrate customer-centric decision-making and develop experience-led metrics Communicate complex service thinking clearly to stakeholders Required qualifications, capabilities and skills Solid hands-on experience in roles such as Senior or Lead Service designer or a related field, focusing on end-to-end customer experiences Proven record in service design projects, including journey mapping, service blueprinting, and storyboarding Experience in conducting user research to inform service design outcomes A strong portfolio demonstrating end to end service design work: from discovery and insight through to service blueprints and future state journeys Strong communication skills to articulate service design artefacts to stakeholders Represent service design in key governance and decision forums & experience with fast-paced, iterative design approaches involving frequent testing and refining of concepts Strong collaborative skills to build alignment across diverse teams & Degree in Design, Service Design, HCI, Behavioural Science, Business, or related field - or equivalent practical experience. Preferred qualifications Ability to work in cross-functional teams, facilitate collaboration, and encourage consensus toward common goals and objectives Confident leading workshops, co creation sessions, and playback meetings with senior, cross functional stakeholders Comfortable presenting and tailoring communication style for different audiences Builds trusted relationships with Product, Engineering, Operations, Risk, and Compliance 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description About Wise Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission. Job Description We're looking for a Lead Product Analyst to join the Business Account squad and the Business Onboarding team. As a Lead Product Analyst, your mission will be to deeply understand the needs of business customers as they register with Wise for the first time, regain access to their account, and complete the checks needed to use Wise safely. You'll help the team find the right balance between conversion, customer experience, operational efficiency, and risk controls: reducing unnecessary friction for legitimate businesses while helping deflect bad actors. This role offers a significant opportunity to collaborate across various teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers. For more information on our Analytics Career Map and levelling structure, click here. What you will be doing: Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your team understand their progress and communicate recommendations to senior stakeholders. Use data exploration and funnel analysis to identify high-impact opportunities in the onboarding flow. Partner with the team to prioritise projects with the highest leverage. Lead experimentation and A/B tests for business onboarding, defining hypotheses and metrics. Analyze results to drive product roadmap recommendations to reduce friction and boost conversion. Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights Qualifications What you'll bring: Technical depth: 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets. Product analytics craft: Strong experience with at least three of funnel analysis, customer segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests, and documentation that can be retrieved and reasoned over. Ownership: You enjoy working independently in a fast-paced environment. You identify high-impact opportunities and make them happen. You triage requests by impact and know when to go deep versus deliver 80/20 results. Communication: Excellent verbal and written communicator - you cut through the noise, communicating what matters in a way that people get it. You craft dashboards and visualisations that tell a story and have diagnostic power. Analytical Thinking: You have experience with at least one of: funnel analysis, customer segmentation/cohort analysis, or metrics decomposition. You structure problems before diving into data and know how to find the signal in the noise. Nice to have but not essential: Prior experience in the B2B space - understanding business customers' financial and operational needs. A/B testing or causal inference experience. Familiar with onboarding frameworks and KYC/KYB processes. Demonstrated capability to utilize AI and machine learning for enhancing analytical results and automating routine work. Additional Information What do we offer: Salary: £75,000 - £115,000 Company Restricted Stock Units Numerous great benefits in our London office Key benefits: Hybrid working Paid annual holiday, sick days, parental leave and other leave opportunities 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role: Join us as a Software Engineer in our critical Scam Prevention team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work: The Scam Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on? This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to prevent Wise customers from scams. Drive Backend and Frontend for our scam prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £87,500 - £111,000 Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role We're looking for a Senior Software Engineer II to join our Wise for Banks team and help shape the technical direction of the systems powering Wise's global payment network. In this role, you'll operate at the intersection of engineering, product, and partnerships by driving the architecture, scalability, and reliability of the infrastructure that enables banks to connect seamlessly to Wise. With deep expertise in Java, Spring Boot, Kafka, and PostgreSQL, you'll lead the design of highly available services and event-driven systems that power partner integrations and financial flows at scale. You'll influence architecture across Wise's ecosystem of 700+ microservices, helping teams make sound technical decisions and ensuring systems remain maintainable, observable, and resilient as our platform grows. Beyond hands-on technical contributions, you'll act as a technical authority and multiplier for the organisation. You'll mentor engineers, raise engineering standards, and guide teams toward best practices in microservices architecture, domain-driven design, and distributed systems. You'll also play a key role in cross-team initiatives, representing Wise Platform and helping align engineering efforts with company-wide goals. At Wise, we value collaboration, curiosity, and shared ownership. In this role, you'll develop deep expertise in correspondent banking and interbank payment networks, helping shape the systems that enable banks and businesses to move money globally with speed, transparency, and reliability. You'll regularly contribute to technical discussions, architecture reviews, and strategic planning across teams. Our Partner Cash Management team builds and maintains the infrastructure that enables banks to fund, hold, and manage liquidity within interbank payment networks. Our platform helps partners optimise liquidity, support seamless payments, and manage foreign exchange (FX) exposure at scale. As a Software Product Engineer, you'll play a critical role in evolving this platform to support the next generation of global financial partnerships. We're looking for someone who: Has extensive hands-on experience with Java and Spring Boot in production environments Has strong experience designing and operating large-scale distributed systems and microservices architectures Is comfortable designing event-driven systems using Kafka or similar technologies Has strong experience modelling and building systems with PostgreSQL or other relational databases Applies domain-driven design principles to build scalable and maintainable systems Has a track record of architecting and delivering complex, high-scale systems Demonstrates strong technical leadership and cross-team influence Communicates effectively with both technical and non-technical stakeholders What will you be doing? Lead the design and development of highly scalable and resilient services in Java and Spring Boot within Wise's microservices architecture, helping evolve the systems that power our global payments network. Apply domain-driven design to model complex financial domains and build robust, scalable solutions that support Wise's growing partner ecosystem. Drive the development and adoption of event-driven architectures using Kafka or similar messaging systems, ensuring systems are reliable, observable, and able to scale with increasing transaction volumes. Architect and optimise relational database systems (e.g. PostgreSQL), ensuring strong data modelling, performance, and reliability across critical financial workflows. Collaborate with cross-functional teams including Product, Implementation, Solutions Engineering, and Business Development to support partner integrations and expand the Wise payment platform globally. Provide technical leadership across teams, influencing architecture decisions, contributing to platform-level improvements, and ensuring engineering standards remain high across services. Participate in code reviews, architecture discussions, and technical planning, championing best practices in distributed systems, reliability, and maintainability. Mentor and support engineers, helping grow technical capability across the team while fostering a culture of learning, ownership, and collaboration. Qualifications What do you need? We are fully aware that it is uncommon for a candidate to have all the skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! Extensive experience building backend systems using Java and Spring Boot, or similar languages and frameworks, in production environments. Strong experience designing and operating large-scale microservices architectures and distributed systems. Proven experience building or operating event-driven systems using Kafka or similar messaging platforms. Strong knowledge of relational databases such as PostgreSQL, including schema design, query optimisation, and maintaining data integrity in high-scale systems. Experience applying domain-driven design (DDD) to model complex business domains and design scalable systems is a plus. A strong product mindset and passion for user experience - you prioritise work with the customer in mind and make data-driven decisions to solve real problems. Excellent problem-solving skills, with the ability to operate independently while collaborating effectively across teams. Strong communication and leadership skills, with the ability to clearly convey technical concepts to both technical and non-technical audiences. Experience mentoring engineers and contributing to raising technical standards across teams. but don't worry - we don't expect you to know everything! Additional Information Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) Our Engineering career map Scaling our Infrastructure; how we make it work Wise Engineering - What do we offer: Wise Benefits For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. About Made Tech At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. We believe the best way to achieve this is to embrace cloud technology while working in a collaborative multidisciplinary environment. Based within the Cloud & Engineering Practice, our Senior Cloud Engineers help public sector organisations to deliver digital services that are highly available, reliable, resilient and secure. They are software engineers who tend to focus more on the successful deployment and operations of services than on functional development. They are adaptable and comfortable covering a range of disciplines such as DevOps, SRE and infrastructure architecture. About the role You will play a critical role in designing, implementing, and maintaining our clients' cloud infrastructure, ensuring it is secure, scalable, and highly available. You will provide dedicated cloud and infrastructure expertise within your team and advise on best practice. We expect our cloud engineers to have a background in and thorough understanding of software engineering. You will keep abreast of emerging technologies and be able to work collaboratively in a multi-disciplinary software delivery environment. You will be expected to maintain a broad technical knowledge across all major cloud platforms and build credibility by pursuing relevant certifications. Key Responsibilities Delivery of high quality cloud-based technical solutions for our clients: Collaborate within cross-functional teams to design cloud architectures that meet the client's requirements around scalability, performance, and security Deploy and manage cloud resources, containers, and related services using Infrastructure as Code (IaC) tools like Terraform or CloudFormation Configure and maintain networking, security, and access control in the cloud environment Implement and maintain robust security practices to protect data and resources in the cloud environment Develop and maintain automated processes for provisioning, monitoring, and scaling cloud resources, including the use of CI/CD pipelines to streamline application deployments Monitor cloud infrastructure for performance bottlenecks and proactively optimise resource usage Implement load balancing, caching, and content delivery solutions to ensure high availability and performance Design and maintain backup and disaster recovery solutions to ensure business continuity in the event of system failures or data loss Create and maintain runbooks including configuration management and standard operating procedures Provide high tier support for client applications and infrastructure, including occasional on call cover Ensure any necessary compliance standards are met and certifications are maintained Evangelising the adoption of cloud technology and adherence to prescribed best practices: Evaluate and recommend cloud services, tools, and solutions to meet common client scenarios Stay up-to-date with industry trends and emerging technologies, and share knowledge with the team Collaborate with other teams within Made Tech to ensure alignment with cloud best practices Line manage and mentor more junior colleagues to support their development, pursuit of career goals and management of their overall performance Skills, Knowledge & Expertise Essential Significant prior experience in a cloud engineering role, with a strong foundation in successfully building and deploying services in the cloud A deep knowledge of cloud platforms such as AWS, Azure and GCP Hands on experience delivering software using multiple programming languages and a thorough knowledge of modern software engineering best practices Experience with containerisation and orchestration tools (e.g. Docker, Kubernetes) Experience working within multidisciplinary teams with product, design, and technical disciplines all successfully collaborating Desirable Experience working in a technology consultancy environment Relevant cloud certifications such as AWS Cloud Practitioner, Developer, DevOps Engineer, Security, Advanced Networking or Azure Developer, Security, DevOps, Network Engineer Knowledge of cloud vendor partner programs, such as AWS APN and Azure Partners Experience with well-architected frameworks Knowledge of UK public sector technology guidance and frameworks, such as NCSC's Cyber Assessment Framework (CAF) and the Technology Code of Practice (TCoP) Familiarity with Python, Bash and JavaScript Agile practices such as Scrum, XP, and/or Kanban Experience using Test Driven Development (TDD). Job BenefitsAn increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave plus bank holidays Flexible Working Hours - we are flexible with what hours you work Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate. We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication. This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK - but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact. Join us as we build the bank of the future, where your expertise in user experience research will help redefine mobile banking for millions. At Chase UK, you'll have the opportunity to make a real impact in a start-up environment backed by the trust of a global brand. We value proactive communicators and strategic thinkers who thrive in dynamic, fast-paced settings. Be part of a team that champions customer-centric design and continuous learning. Your work will directly influence the future of banking in the UK and beyond. Job Summary: As a Senior User Experience Researcher in the Design and Customer Experience team, you will play a pivotal role in launching innovative products and shaping the digital banking experience for Chase in the UK and our global market expansion. You will collaborate closely with Product leadership, using your expertise in UX research to inform product development, design direction, and content creation. Your insights will drive strategic decisions and foster a culture of continuous learning and knowledge sharing within the team. You will help us build a customer-centric digital bank that sets new standards in the industry. Job Responsibilities: Conduct user research within specific product areas and collaborate with Design, Content, Product, and Engineering teams Prioritize research opportunities in a fast-paced, rapidly changing environment Advise on research plans, strategies, and methods Manage and conduct generative and evaluative research Perform independent research on multiple aspects of products and experiences Integrate complex technical and business requirements into research activities Advocate for the use of customer insights and data to inform decisions Present and communicate user research findings and recommendations to the broader organization Contribute to best practices, research methodologies, and frameworks to drive efficiency Champion a customer-first approach and foster shared understanding across the organization Support a culture of continuous learning and knowledge sharing within the team Required Qualifications, Capabilities, and Skills: Hands-on experience as a user or UX researcher Proficiency in a wide range of exploratory and evaluative research methods Experience applying user research methods in product and/or service development Ability to scale research processes and define best practices Strong passion for championing customers In-depth understanding of UX, UI, and design principles Excellent critical-thinking and problem-solving skills Effective communication and interpersonal abilities Strong senior stakeholder management skills Ability to communicate research insights to diverse audiences Thrive in a fast-paced, collaborative, cross-functional environment Ability to develop and sustain effective working relationships with peers, managers, and stakeholders Preferred Qualifications, Capabilities, and Skills: Experience in retail banking, fintech, or similar industries Bachelor's degree in HCI, Human Factors, Cognitive Psychology, Sociology, Anthropology, or a related field, or equivalent professional experience Additional language skills 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Behind every investment is a person with ambitions, motivations and values. While we know that every client is unique, they come to J.P. Morgan Personal Investing for the same reason: our straightforward and transparent approach to investing, and the trust that 150 years of J.P. Morgan heritage brings. J.P. Morgan Personal Investing offers award-winning investments, products and digital wealth management services to over 275,000 investors in the UK. We built the business with innovation as a core part of our ethos to give consumers the confidence and clarity to make informed investment decisions and achieve their financial goals. As a Salesforce Engineer at JPM Personal Investing, your responsibilities will include working to help shape the platforms for our Customer Service, Marketing, and Operations teams. You will also be developing standalone products on Salesforce, as well as integrating with the JPM Personal Investing services directly to build the best customer experience for customers and colleagues. Our Salesforce team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. Job responsibilities: As a Salesforce Engineer, you will get involved in developing services such as referrals & promo systems, automation/alerts, email services, custom Lightning & Visualforce pages, developing products across all core Salesforce systems including Service & Sales Clouds, and Marketing Cloud. We also often use out of the box external applications such as: â Salesforce scheduler, milestones, forecasting â Amazon Connect, Back-up solutions, and others. Required qualifications, capabilities and skills Certified Salesforce developer (at least Platform Developer 1) Experience in platform (Async Apex) Service & Sales cloud development experience SOQL/SOSL/DML operation and SOQL query optimizations REST integrations with external services Testing methodologies & frameworks & integration testing Experience working in an Agile team (Scrum / Kanban) Migration tools Experience with Lightning Web Components Awareness of clean architecture in OOP A strong passion for creating clean, maintainable & highly testable code and components Preferred qualifications, capabilities and skills Multiple Salesforce certifications Hands-on experience with integrations (BE APIs, Amazon Connect, etc.) Experience with relational databases (MySQL, Postgres or Oracle) Full-stack Salesforce development experience A good understanding of CI/CD principles and automated testing Marketing cloud experience Demonstrated experience in different integration patterns 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.