Python Java AWS Software Engineer III (ML) - Agentic Treasury

JPMorgan Chase & Co.•Jersey City, NJ
•$137,750 - $185,000

About The Position

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank’s Payments (Data Analytics & Regulatory Compliance) Team, you will help create a standard platform for building and running AI agents in production. The platform provides a common runtime and shared capabilities to move agents from idea to trusted live services. As a seasoned member of an agile team, you will design and deliver secure, stable, scalable technology products and implement critical technology solutions across multiple technical areas in support of the firm’s business objectives.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using Java, Python, and SQL.
  • Experience with PostgreSQL.
  • Experience with AWS.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; ability to guide peers on safe and effective usage.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

  • Experience with Databricks.
  • Experience with machine learning frameworks, including Scikit-Learn, PyTorch, and Pandas.

Responsibilities

  • Execute software solution design, development, and technical troubleshooting, using creative approaches to build solutions and break down technical problems.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding tools to improve code quality, delivery speed, and productivity; validate their outputs through peer review, automated testing, and secure coding standards, and share reusable practices with the team.
  • Apply knowledge of the Software Development Life Cycle toolchain, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize large, diverse data sets to support continuous improvement of software applications and systems.
  • Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.

Benefits

  • Competitive total rewards package, with base salary based on role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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