Lead Full-Stack AI Platform Engineer – Treasury

Socket.dev

Jersey City (NJ)

On-site

USD 170,000 - 210,000

Full time

6 days ago
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Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Lead Software Engineer to build an end-to-end data platform for Capital, Liquidity, and Funding. You will lead UI/backend development in React/TypeScript and Python, and guide AI-assisted engineering practices across the team.

You will drive data pipelines on Databricks and Snowflake, enable AI-driven, regulated workflows, and collaborate with Treasury, Finance, Trading, and Quant teams to deliver high-quality solutions in a fast-paced environment.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Strong Python skills and familiarity with agentic development (ADLC).
  • Experience in risk and PnL in markets and Agile/CI/CD practices.

Responsibilities

  • Lead full stack development of UI dashboard in React/TypeScript and Python services.
  • Deliver data pipelines and ETL on data platforms like Databricks and Snowflake.
  • Architect and troubleshoot software solutions in a large corporate environment.
  • Guide use of LLMs and AI-assisted tools with secure, auditable processes.
  • Set team expectations for validating AI outputs for correctness, security, and performance.
  • Ensure determinism, traceability, and resilience in regulated environments.

Skills

Leadership
Architectural design
Python
CI/CD
AI-assisted development
Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Tools

Python
React/TypeScript
Databricks
Snowflake
AWS

Job description

JPMorgan Chase & Co. in Jersey City is seeking a Lead Software Engineer to build an end-to-end data platform for Capital, Liquidity, and Funding. You will lead UI/backend development in React/TypeScript and Python, and guide AI-assisted engineering practices across the team.

You will drive data pipelines on Databricks and Snowflake, enable AI-driven, regulated workflows, and collaborate with Treasury, Finance, Trading, and Quant teams to deliver high-quality solutions in a fast-paced environment.

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