Lead Software Engineer - Full Stack

JPMorgan Chase & Co.•Jersey City, NJ

7h•$156,750 - $215,000

About The Position

As a Lead Software Engineer at JPMorganChase's Consumer and Community Banking's technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you take a hands-on role in building a multi-tenant, API-first data and services platform that serves as a system of record for operational data, orchestrates and aggregates across many underlying systems behind one governed contract, and delivers AI-native, agent-consumable capabilities in support of the firm's business objectives.

Requirements

Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
Proficiency in back-end technologies (e.g., Java, Spring Boot, Node.js) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, TypeScript, React, Angular).
Experience designing API-first services and orchestration or aggregation layers over multiple source systems.
Experience using AI-assisted and agentic development tools to improve engineering speed and quality, with a willingness to work in an AI-native, agent-augmented team model.
Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
Experience with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies including RESTful APIs, WebSockets, and JSON.
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Proficient across the Software Development Life Cycle, with advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile).

Nice To Haves

Experience building multi-tenant platforms with metering, versioned contracts, and self-service onboarding.
Experience with API platform patterns such as GraphQL, event-driven architecture, or streaming (e.g., SSE), and with agent-consumable interfaces such as MCP.
Familiarity with LLMs, fine-tuning small language models (SLMs) and open-weight models, prompt engineering, and retrieval-augmented generation; experience as an AI engineer is a strong plus.
Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
Strong problem-solving, analytical, and communication skills.
Experience in the banking domain, and AWS certification.

Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, including well-designed APIs and orchestration layers that aggregate multiple source systems behind one governed contract and decouple front-end experiences from underlying platforms.
Build capabilities as agent-consumable, well-governed services (e.g., MCP and REST), with the multi-tenancy, metering, versioning, and resiliency expected of a shared platform.
Add AI to platform capabilities, integrating model-brokered services such as retrieval, summarization, and next-best-action, with appropriate guardrails.
Leverage AI and agentic development tools to accelerate design, coding, testing, and delivery, and help the team adopt these practices as part of how we work.
Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
Develop secure, high-quality production code, and review and debug code written by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve the operational stability of applications and systems.
Design and build scalable, secure, and reliable solutions using modern architectural patterns that avoid single points of failure, enable zero-downtime releases, and optimize data performance.
Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies.
Add to team culture of diversity, opportunity, inclusion, and respect.