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# Sr Lead Software Engineer - Data Engineering, Python/C++/KDB/AI

- **Company:** JPMorgan Chase & Co.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, C++ (Programming Language), Computer Engineering, Continuous Delivery, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Generative AI, Information Technology, Software Coding, Restful APIs, Stream Processing
- **Published:** September 3, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/sr-lead-software-engineer-data-engineering-pythonckdbai/45840651

## About the Role

global teams.Required Qualifications, Capabilities, and Skills5+ years of applied experience in software engineering, in large-scale, fast-paced financial environments.Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.Strong expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering.Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation.Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies (CI/CD, Application Resiliency, Security).Experience leading and mentoring teams in a global, collaborative environment.Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical

## Description

Join a dynamic, global analytics team within JPMorgan Chase's Commercial & Investment Bank, Electronic Trading Technology. As a Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank, Electronic Trading Technology, you will play a pivotal role in designing and delivering high-performance, scalable solutions that power real-time trading and research in a fast-paced financial environment. We seek candidates with strong expertise in any of Python/KDB/C++, and who can leverage their knowledge of AI to drive innovation in data engineering, analytics, and automation.Experience leveraging AI in development, analytics, or SDLC use cases is a critical enabler for this role. Job ResponsibilitiesLead technical initiatives across global analytics teams, providing guidance and direction to engineers, contractors, and vendors in a high-velocity environment.Design, build, and optimize real-time data processing pipelines and applications ensuring reliability and performance
for mission-critical financial systems.Leverage AI technologies and techniques to enhance data engineering workflows, automate SDLC processes, and deliver advanced analytics capabilities for trading and research.Collaborate with research and trading teams worldwide to onboard new datasets efficiently and consistently, supporting global business needs.Build and support robust tools and frameworks for quantitative research and production trading, including scalable APIs and analytics libraries.Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards across distributed teams.Influence product design, application functionality, and technical operations/processes to meet the demands of a rapidly evolving financial landscape.Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI, contributing to firmwide best practices and technical excellence.Champion diversity, inclusion, and collaboration within large


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