Senior Lead Software Engineer - Java/AWS, AI-Driven Impact

Socket.dev

Wilmington (DE)

On-site

USD 130,000 - 190,000

Full time

7 days ago
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Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer—Java/AWS to join the Consumer and Community Banking team. You will drive secure, scalable software solutions, guide architecture decisions, and promote AI-assisted development practices across teams.

Lead design, code reviews, and governance while ensuring security, performance, and reliability of critical financial software applications in an enterprise setting.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced in one or more programming language(s) including Java, Microservices, AWS and AI.
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools.
  • Strong understanding of responsible AI use in engineering workflows, data sensitivity considerations, security, and resiliency.

Responsibilities

  • Provides technical guidance to the business and technical teams, contractors, and vendors.
  • Develops secure, high-quality production code and reviews code written by others.
  • Drives AI-assisted engineering practices to improve code quality, speed, and operations with measurable validation standards.
  • Uses SDLC tools and approved AI capabilities to improve automation value.
  • Influences product design, application functionality, and technical operations.

Skills

Java
Microservices
AWS
AI

Job description

JPMorgan Chase is seeking a Senior Lead Software Engineer—Java/AWS to join the Consumer and Community Banking team. You will drive secure, scalable software solutions, guide architecture decisions, and promote AI-assisted development practices across teams.

Lead design, code reviews, and governance while ensuring security, performance, and reliability of critical financial software applications in an enterprise setting.

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