Lead Software Engineer — AI‑Driven, Java/React, Cloud

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

JPMorganChase seeks a Lead Software Engineer to drive secure, scalable technology products within the Corporate Sector. You will lead agile teams, develop high-quality production code in Java/React, and advance AI-assisted development practices to improve delivery and reliability.

You will contribute to enterprise architectures, mentor engineers, and uphold strong security and resiliency standards in a fast-paced financial services environment.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Advanced in Full Stack development using Java tech stack and React.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team 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 engineers on safe, compliant adoption within delivery practices
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as 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, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Full Stack Java
React
AI-assisted development tools
CI/CD
Secure coding
Agile methodologies
Cloud native
Leadership

Education

Formal training or certification in software engineering

Tools

CI/CD tooling
Cloud platforms (AWS/Azure/GCP)
Security tools

Job description

JPMorganChase seeks a Lead Software Engineer to drive secure, scalable technology products within the Corporate Sector. You will lead agile teams, develop high-quality production code in Java/React, and advance AI-assisted development practices to improve delivery and reliability.

You will contribute to enterprise architectures, mentor engineers, and uphold strong security and resiliency standards in a fast-paced financial services environment.

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