Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, Securities Services Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Develops and maintain high-quality, secure applications using Python and AWS
Creates architecture and design deliverables, lead design and architecture reviews, own end-to-end delivery. Integrates AIML solutions into complex, domain specific operations processing systems
Leads code reviews, design discussions, and agile planning sessions. Collaborates with SRE and production monitoring teams to ensure system reliability and performance
Contributes to software engineering communities of practice and technology events
Embraces continuous learning, creative problem solving, and a can-do attitude
Leads evaluation and selection of open source and internal software to determine best fit
Partners with existing systems teams on cross‑app design; align interfaces and ship end‑to‑end solutions
Manages small team of engineers whilst remaining hands on, setting engineering standards
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.
Proven hands-on experience in Python application development
Proven hands-on experience developing, debugging and maintaining production applications
Solid understanding of software development best practices, including version control, testing, and CI/CD
Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
Experience working on AIML systems and/or prior experience collaborating with data scientists
Track record of designing, building, and delivering maintainable, extensible applications into production environments

Preferred qualifications, capabilities, and skills

Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development
Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock
Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and LLMs
Experience working on AIML systems and/or prior experience collaborating with data scientists

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