Sr. Lead Software Engineer - AI/ML

JPMorganChaseHouston, TX
1d

About The Position

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase 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.

Requirements

  • Formal training in software engineering concepts and 10+ years of applied experience.
  • Extensive experience building and operating AWS/public cloud–based applications.
  • Strong Python programming skills.
  • Proven hands‑on delivery across system design, application development, testing, and operational stability.
  • Proficiency in automation, CI/CD, and all aspects of the SDLC.
  • Experience with pipelines and DAGs for data processing and/or machine learning.
  • 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., GitHub Copilot) for JIRA, documentation, coding, and releases, with measurable productivity and quality gains.

Nice To Haves

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

Responsibilities

  • 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 decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • 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
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