Lead Software Engineer

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
175 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $198k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,425–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

As a Lead Software Engineer within the Consumer & Community Banking division, you will design and build critical technology solutions for Chase AI components, including Agent Operating Memory, Domain Agents, and the Agentic Experience Service. You will be responsible for developing high-quality production code, creating architecture artifacts, and troubleshooting complex problems while ensuring compliance with security and regulatory requirements. Your daily work involves building agentic systems using LLMs and SLMs, managing MCP servers, and utilizing tools like Spring Boot, Spring Security, FastAPI, and Flask. You will leverage a technical stack including Java, Python, Docker, and AWS services like ECS or EKS within CI/CD pipelines. Key responsibilities include implementing RAG patterns, managing prompt engineering, and driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed across distributed systems.

What you'll do

  • Design and build critical technology solutions for Chase AI components including agentic experience services and assurance systems.
  • Develop secure, high-quality production code and maintain complex algorithms that run synchronously with enterprise systems.
  • Create architecture and design artifacts to ensure software development meets specific technical constraints.
  • Analyze large, diverse datasets to identify hidden patterns and improve coding hygiene and system architecture.
  • Drive team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Implement LLM patterns such as RAG, function calling, prompt management, and safety guardrails for agentic systems.
  • Ensure all software solutions comply with strict security, privacy, and financial regulatory requirements.
  • Manage the full software development lifecycle using automated tools, CI/CD pipelines, and containerization technologies.

What we're looking for

  • 5+ years of software engineering experience.
  • 2+ years of experience building complex scalable applications or agentic systems.
  • Hands-on experience building agentic systems using LLMs/SLMs and setting up MCP servers.
  • Proficiency in coding with Java and Python, including the ability to work across both languages.
  • Experience building production services using Spring Boot/Spring Cloud or Python frameworks like FastAPI/Flask.
  • Solid AWS background including ECS, EKS, Docker, and CI/CD pipelines via GitHub Actions, Jenkins, or CodeBuild.
  • Strong API design skills (REST/OpenAPI, gRPC) and experience with observability stacks like Splunk or Prometheus.
  • Practical understanding of LLM patterns such as RAG, function calling, prompt management, and safety guardrails.

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