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 Python AWS at JPMorgan Chase within the Corporate 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
- Design, Develop and implement software solutions.
- Solve business problems through innovation and engineering practices.
- Engage in the full Software Development Life Cycle (SDLC), from requirements analysis through design, development, testing, and deployment.
- Incorporate architectural standards into application design specifications, translating technical requirements into programmed application modules, and developing and enhancing software application modules.
- Identify and troubleshooting application code-related issues.
- Take active role in code reviews to ensure solutions are aligned to predefined architectural specifications.
- Assist with Design reviews by recommending ways to incorporate requirements into designs and data flows.
- Perform development and DevOps in a distributed environment.
- 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
- Experience building Microservices using python, Docker, Jenkins, Python-Streamlit, SQL, JSON, Kubernetes, AWS EMR, AWS EC2, AWS RDBMS (Postgres, Oracle) , Apache Spark, Pyspark, Tensorflow
- Application architecture disciplines and technical design for financial applications.
- Experienced with pair programming agents such as GitHub Copilot to accelerate prototyping.