Senior Lead Software Engineer - Python, Data, Cloud, AI/ML

Salary: £62,000 - 102,000 per year

Requirements:

• Formal training or certification in software engineering concepts with proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in Python and other modern programming languages
• Experience developing, debugging, and maintaining code in a large corporate environment, including database querying languages
• Strong knowledge of the software development life cycle
• Proven track record in system design and in architecting and developing microservices, distributed systems, and data-intensive applications
• Experience with cloud services, infrastructure as code, containerized application development, big data, and modern data engineering technologies
• Practical experience developing production-scale cloud-native data engineering solutions in commercial environments
• Familiarity with cloud data engineering services such as ETL, Glue, S3, and Athena, as well as an MLOps stack
• Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools, with the ability to validate outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations
• Ability to communicate design choices and results clearly to stakeholders with diverse backgrounds
• Experience with data, AWS, and AI/ML engineering in commercial settings, preferably in financial services
• Experience working on recommendation systems, LLM applications, or other AI/ML systems
• Practical experience with Kubernetes, EKS, Docker, and MLOps
• Prior exposure to LLMs, RAG, knowledge graph technologies, OpenSearch, and vector databases
• Prior experience collaborating with data scientists

Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting to build solutions and solve complex technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications and ensure design constraints are met through software code development
• Build the engineering stack required for data and AI/ML products, including data engineering, backend engineering, cloud infrastructure DevOps, and MLOps
• Design and implement data engineering solutions using modern big data technologies
• Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Apply knowledge of SDLC toolchain capabilities, including approved AI-assisted development and automation tools, to improve automation value at scale
• Contribute to software engineering communities of practice and events exploring new and emerging technologies
• Work on challenging cloud-native data, backend engineering, and AI/ML engineering initiatives to industrialize AI/ML models at production scale

Technologies:

• AI
• AWS
• OpenSearch
• Big Data
• Backend
• Cloud
• DevOps
• Docker
• ETL
• Support
• Kubernetes
• LLM
• MLOps
• Python
• RAG
• Security
• microservices

More:

We are JPMorgan Chase, a global leader in financial services, and within our Commercial & Investment Bank Markets Research Technology team we are building trusted, market-leading technology products in a secure, stable, and scalable way. We offer the opportunity to work in a highly technical, hands-on senior engineering role on cloud-native data, backend, and AI/ML solutions that support our business objectives. We value learning, problem-solving, creative thinking, and a can-do attitude, and we are committed to diversity, inclusion, and equal opportunity across our global workforce. Our Commercial & Investment Bank serves corporations, governments, and institutions in more than 100 countries, providing strategic advice, raising capital, managing risk, and extending liquidity around the world.

last updated 34 week of 2026