Lead Software Engineer

Testing Site - JPMC; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase in the Consumer & Community Banking division seeks a Lead Software Engineer to design and build critical technology solutions across Chase AI components, including agentic systems, data tooling, and integration services.

You will collaborate with product, design, and operations teams, lead code reviews, and mentor engineers while ensuring security, privacy, and regulatory compliance in all software solutions.

Qualifications

• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs.
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters.
• Proficient in coding in Java or Python; able to jump between projects as needed.
• Experience with Spring AI or Python (FastAPI/Flask) with typed contracts, testing, and packaging.
• Strong AWS background with ECS or EKS, Docker, and CI/CD.

Responsibilities

• Execute software solutions, design, development, and troubleshooting of complex problems.
• Create secure, high-quality production code and maintain algorithms.
• Produce architecture and design artifacts for complex applications.
• Analyze large data sets to drive continuous improvement of software apps and systems.
• Identify data patterns to improve coding hygiene and system architecture.
• Lead code reviews and mentor junior engineers.
• Ensure compliance with security, privacy, and regulatory requirements.

Skills

Java

Python

LLMs/SLMs

Spring ecosystem

AWS

Docker

API design

CI/CD

Observability

Tools

MCP servers

MCP-compatible tools

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking division, you will design and build critical technology solutions across Chase AI components—including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance.

Job Responsibilities

• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Adopt and learn new technologies that positively impact agentic solutions.
• Collaborate with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
• Lead code reviews, mentor junior engineers, and promote best practices in software engineering.
• Ensure compliance with security, privacy, and regulatory requirements in all software solutions.

Required Qualifications, Capabilities, and Skills

• 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.
• Hands-on experience building agentic systems using LLMs/SLMs
• Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters
• Proficient in coding in one or more languages: Java, Python; able to jump between Java and Python projects as needed.
• Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging.
• Solid AWS background with working knowledge of ECS or EKS, containerization (Docker), and CI/CD (GitHub Actions/Jenkins/CodeBuild).
• Strong API design skills (REST/OpenAPI; gRPC and familiarity with observability stacks (e.g., Splunk, CloudWatch, Prometheus/Grafana, OpenTelemetry).
• Practical understanding of LLM patterns: function calling/tools, RAG, prompt management, context windows, token budgeting, and safety guardrails.
• Strong testing culture: unit/integration tests, load tests, and evaluation datasets for agents.
• Excellent communication and cross-functional collaboration skills.
• Experience with agile methodologies and working in fast-paced, iterative development environments.

Preferred Qualifications, Capabilities, and Skills

• Expertise with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data.
• Experience with safe rollout strategies (shadowing, A/B testing, progressive exposure), human-in-the-loop review, and continuous evaluation for quality and safety, including canary rollouts.
• Knowledge of API gateways, service mesh, and multi-region high availability and disaster recovery for mission-critical services.
• Familiarity with data privacy, security best practices, and regulatory compliance in financial services.
• Experience with performance optimization, scalability, and reliability engineering for large-scale systems.
• Ability to evaluate and integrate third-party tools, libraries, and frameworks to accelerate development.
• Demonstrated leadership in technical communities, open source contributions, or industry forums.