Lead Software Engineer- Java/Python/AWS

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in the Data Technology space within Consumer & Community Banking. You will guide multiple teams, deliver secure, scalable code, and drive AI-assisted engineering practices across the SDLC.

The role emphasizes architectural influence, strong AWS expertise, and hands-on delivery with Java, Python, and Go. Leadership and operational stability are key to success in this fast-paced environment.

Qualifications

• Formal software engineering training and 5+ years of hands-on experience.
• Experience delivering system design, application development, testing, and operations.
• Advanced Java, Python, or Go with strong AWS experience and API hosting.
• Experience with Terraform IaC and microservices design.

Responsibilities

• Provides technical guidance to business teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives AI-assisted engineering practices to improve quality and speed.
• Establishes validation standards for AI workflows and promotes reuse.
• Influences product design and architecture through engineering decisions.
• Serves as a subject matter expert and advocates SDLC best practices.
• Contributes to the engineering community with firmwide tooling guidance.

Skills

Java

Python

Go

AWS

Terraform

Microservices

APIs

Education

Software engineering degree

Tools

Terraform IaC

Docker

CI/CD pipelines

APIs

Job description

Requisition Title

Lead Software Engineer – Java/Python/AWS

Description

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking (CCB) in the Data Technology space, you will help enhance, build, and deliver secure, stable, and scalable technology products. You will drive meaningful business impact through deep technical expertise, strong engineering judgment, and hands‑on delivery across multiple technologies and applications.

Job Responsibilities

• Provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure, high‑quality production code; reviews and debugs code written by others.
• Drives adoption and governance of approved AI‑assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis).
• Establishes measurable validation standards for AI‑assisted workflows (e.g., secure coding, peer review, automated testing) and promotes reuse of proven patterns and automation across the SDLC/toolchain.
• Influences product design, application functionality, and technical operations/processes through architecture and engineering decisions.
• Serves as a function‑wide subject matter expert in one or more focus areas.
• Contributes to the engineering community as an advocate of firmwide SDLC frameworks, tools, and practices.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands‑on experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming languages (Java, Python, or Go) with strong AWS experience.
• Strong experience with AWS services to host APIs, run standalone applications, enable inter‑application messaging, and implement event‑driven services.
• Experience organizing Terraform workspaces and developing Terraform code (IaC).
• Experience designing and developing microservices and backend services.
• Experience designing backend data models and working with databases.
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting), including setting expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight.

Preferred Qualifications, Capabilities, and Skills

• Experience with messaging systems.
• Experience with Docker and containerization best practices; experience with CI/CD tools and pipeline automation.
• Understanding of security best practices and secure coding principles.
• Experience with test‑driven development (TDD), automated testing frameworks, and modern API design patterns.