Lead Software Engineer Python AWS

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As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology youare 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 firms 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 onsoftware 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.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe compliant adoption within delivery practices
• Solid grasp ofAgile SDLC CI/CD and security best practices
• Experience developing in large-scale corporate environments
• Excellent problem-solving skills and the ability to think critically and creatively
• Experience in mentoring and guiding junior engineers

Preferred qualifications capabilities and skills

• AWS Certified Solutions Architect certification
• Experience in MLOps and building model serving applications
• Experience with Agentic AI architecture and agents to solve business challenges
• Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)
• Utilize AI agents and emerging technologies to build prototypes for demonstration purposes presenting to peer groups business partners and senior leadership.
• Define standards best practices and governance guidelines for the ML Platform.