AI-Enabled Software Engineer III - Cloud & React

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 120,000 - 180,000

Full time

11 days ago

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Job summary

JPMorgan Chase & Co. in the Corporate Sector is seeking a Software Engineer III to join an agile team, designing and delivering secure, scalable technology products.

You will own end-to-end features, develop AI-enabled solutions, work across backend and frontend with Python, React, and cloud native infrastructure on AWS, and integrate LLM/agent capabilities into production systems. You will contribute to architecture, security, and reliability while collaborating with teammates on complex

Qualifications

  • Formal training or certification in software engineering.
  • 3+ years of applied software engineering experience.
  • Strong Python, React + TypeScript for maintainable UIs.
  • Cloud-native development with containers, APIs, and at least one major cloud (AWS preferred).
  • Hands-on experience with LLMs and agent AI in production environments.

Responsibilities

  • Execute software solutions with design, development, and troubleshooting.
  • Design and build Python services and APIs; develop UIs with React/TypeScript.
  • Work with PostgreSQL/Aurora; design schemas and optimize queries.
  • Leverage enterprise AI tools to improve code quality and delivery speed.
  • Produce architecture and design artifacts; ensure design constraints are met.

Skills

Python
React
JavaScript/TypeScript
cloud-native
LLM/agent AI
PostgreSQL/Aurora
APIs/REST
Git/testing/debugging
CI/CD
Agile methodologies

Education

Formal software engineering training or certification

Tools

Kubernetes (EKS)
AWS (Lambda)
Infrastructure as Code
OpenTelemetry/observability

Job description

JPMorgan Chase & Co. in the Corporate Sector is seeking a Software Engineer III to join an agile team, designing and delivering secure, scalable technology products.

You will own end-to-end features, develop AI-enabled solutions, work across backend and frontend with Python, React, and cloud native infrastructure on AWS, and integrate LLM/agent capabilities into production systems. You will contribute to architecture, security, and reliability while collaborating with teammates on complex

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