Sr. Lead Software Engineer - AWS Data Engineer - AI​/ML

Job Description

As a Senior Lead Software Engineer at JPMorgan

Chase within the Commercial and Investment Banking, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

• Formal training in software engineering concepts and 10+ years of applied experience.
• Extensive experience building and operating AWS/public cloud-based applications.
• Experience with pipelines and DAGs (b>Directed Acyclic Graph) b).
• Strong Python programming skills.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Demonstrated proficiency in cloud and AI/ML software practices.
• Strong problem-solving, communication, and stakeholder collaboration skills.
• Familiarity with MLOps practices and tooling.
• Experience driving adoption of AI engineering tools (e.g., Git Hub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains.

• Experience leading a small team as tech lead and/or manager.
• Proficiency with AWS (hands‑on):
  Sage Maker, Bedrock, Glue, Redshift Serverless, DynamoDB, Event Bridge, Step Functions, Lambda, ECS, EKS, Kinesis, Cloud Watch
• Experience with Python, Terraform,Git Hub Copilot, Airflow, Kubernetes, Docker, MLflow, Datadog, Dynatrace, MCP.
• Familiarity with JPMC platforms/tools (highly preferred):
  Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.…