Sr Lead Software Engineer - F and O Execution Data Team in London

As a skilled Senior Lead Software Engineer at JPMorgan Chase, within the Commercial and Investment Bank you will design, develop, and maintain scalable data pipelines and real-time streaming solutions, leveraging cloud technologies and distributed systems. You will collaborate with cross-functional teams to deliver high-quality data solutions that drive business insights and operational efficiency across the execution platform.

Job Responsibilities

• Design and develop robust, scalable data pipelines and streaming applications using Java and Apache Kafka, forming the backbone of real-time execution and market data flows.
• Integrate with the cloud by implementing and managing data solutions on AWS, including services such as S3, Lambda, EC2, RDS, and Glue.
• Process data at scale by developing ETL processes for both batch and real-time data ingestion, transformation, and storage.
• Optimize performance by monitoring, troubleshooting, and tuning data flows to ensure reliability and efficiency in a low-latency environment.
• Collaborate cross-functionally with data scientists, analysts, and fellow engineers to understand requirements and deliver production-grade solutions.
• Document thoroughly, maintaining clear records of data flows, architecture, and operational procedures.
• Uphold security and compliance, ensuring all data solutions adhere to the firm's security, privacy, and regulatory standards.
• Use enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements.
• Apply reuse-first, AI-assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required Qualifications, Capabilities, and Skills

• Candidates should hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field, and bring experience in data engineering and software development roles.
• The role demands strong proficiency in Java (core and advanced concepts), hands-on experience with Apache Kafka (producers, consumers, and stream processing), and a solid working knowledge of AWS cloud services including S3, Lambda, EC2, RDS, and Glue.
• Proficiency in Python is also required.
• Beyond core languages and platforms, the ideal candidate will have practical experience with the following:
• ETL tools and data pipeline frameworks
• SQL and NoSQL databases
• Data modelling, data warehousing, and big data technologies
• CI/CD practices and version control (e.g., Git)
• Strong problem-solving and analytical skills, together with excellent communication and teamwork abilities, are essential for success in this collaborative, high-stakes environment.

Preferred Qualifications, Capabilities, and Skills

• The following experience would distinguish a candidate, though it is not required:
• Containerization technologies (Docker, Kubernetes)
• Exposure to additional programming languages (Scala)
• Data governance and data quality best practices
• AWS certification or related credentials
• Electronic trading and market data feeds
• Familiarity with the Equities trading stack and Futures & Options market structure
• Trading data or FIX-adjacent data pipelines
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.