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. The role involves building agentic systems using LLMs and SLMs, maintaining MCP servers, and managing RAG patterns, function calling, and token budgeting. Technical requirements include proficiency in Java and Python, experience with Spring Boot or FastAPI, and a solid AWS background involving ECS, EKS, Docker, and CI/CD pipelines. You will also utilize REST, gRPC, and observability tools like Splunk and Prometheus to develop scalable services within the financial services domain.

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 datasets to identify patterns and drive improvements in 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 managing 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 Security or Python frameworks like FastAPI/Flask.
  • Solid AWS background including ECS, EKS, Docker containerization, and CI/CD pipelines.
  • Strong API design skills (REST/OpenAPI, gRPC) and experience with observability stacks.
  • Practical understanding of LLM patterns such as RAG, function calling, prompt management, and safety guardrails.

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