Lead Software Engineer - Full Stack/AI Engineering Focus

JPMorgan Chase & Co. • Jersey City, NJ

2d • $156,750 - $215,000

About The Position

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Digital & Platform Services team, you will be an integral technical contributor on an agile team enhancing, building, and delivering secure, stable, scalable technology products. You will develop critical technology solutions across multiple technical areas in support of business objectives, with a focus on full-stack and AI engineering.

The role involves designing and delivering cloud-native, containerized microservices and platform services, building backend APIs and modern React/TypeScript interfaces, and implementing event-driven systems with Kafka. You will own delivery from requirements analysis and solution design through development, testing, deployment, production support, and continuous improvement. You will guide architecture and design decisions, uphold engineering and operational excellence, mentor colleagues, and use approved AI-assisted tools and agentic solutions in accordance with governance, security, and validation practices.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• 10+ years of hands-on software engineering experience building and supporting enterprise-scale applications.
• Strong expertise designing and developing backend services using Java, Spring Boot, distributed systems, and microservice architectures.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set expectations for validating outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; experience coaching engineers on safe, compliant adoption.
• Hands-on experience building and consuming REST and/or GraphQL APIs.
• Strong experience with relational databases, SQL optimization, and data access patterns.
• Experience implementing event-driven and streaming architectures using Kafka or equivalent messaging platforms.
• Experience building modern frontend applications using React and TypeScript.
• Experience with observability and operational tooling such as Splunk, Grafana, Kibana, ELK, OpenTelemetry, Postman, or equivalent platforms.
• Proficiency with modern engineering tools including Git, GitHub, Maven, Jenkins, SonarQube, IntelliJ IDEA, VS Code, Jira, and Confluence.

Nice To Haves

• Working knowledge of Python, with experience using it for automation, data processing, or AI-enabled solutions.
• Experience designing and deploying AI agents and agentic workflows for software engineering, operations, or business process automation.
• Understanding of Model Context Protocol (MCP) and modern AI integration patterns.
• Knowledge of prompt engineering techniques, AI workflow design, and human-in-the-loop systems.
• Experience creating agentic automations to improve SDLC productivity, testing, code reviews, documentation generation, CI/CD operations, or incident management.
• Ability to establish governance, validation, and quality controls for AI-generated code and solutions.
• Working knowledge of Elasticsearch/OpenSearch, including index design, query optimization, and operational management.

Responsibilities

• Design, develop, and deliver scalable, secure, resilient full-stack solutions using Java, Spring Boot, React, and TypeScript, meeting functional and non-functional requirements.
• Own end-to-end delivery of strategic platform capabilities and application features, including requirements analysis, solution design, development, testing, deployment, production support, and continuous improvement.
• Lead the design and development of cloud-native, containerized microservices and platform services, emphasizing domain-driven design, API-first development, performance, security, maintainability, and operational excellence.
• Drive technical architecture and design decisions in collaboration with product managers, architects, and engineering teams, aligning with enterprise standards and long-term technology strategies.
• Build high-performance backend services and REST/GraphQL APIs integrating with enterprise platforms, relational databases, search technologies, and distributed data systems.
• Develop operational and administrative user interfaces with React and TypeScript.
• Design and implement Kafka-based event-driven and streaming architectures, including event modeling, schema governance, topic strategy, and resilient producer-consumer patterns.
• Promote engineering excellence through code reviews, troubleshooting, refactoring, performance tuning, and mentoring.
• Improve application reliability, observability, and operational stability through automation, monitoring, distributed tracing, incident management, root cause analysis, and technical-debt reduction.
• Use enterprise-approved AI-assisted engineering tools to improve delivery speed, productivity, automation, and code quality while following governance, security, and validation practices.
• Evaluate, design, and implement AI-powered and agentic solutions for software development, operational workflows, system support, and engineering processes, with measurable business and productivity outcomes.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed