Lead Software Engineer - Terraform, Python, Kubernetes

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
• 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
  
  

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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