Lead Java Engineer: AI-Driven, Cloud-Native Platform Leader

Next Frontier Capital

Chicago (IL)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment.

The role emphasizes AI-assisted development, security, and rapid delivery, including leading engineering practices, collaborating with senior stakeholders, and driving automation across the SDLC.

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 programming languages such as Java, C# and .Net.
  • Experience leading the use of approved AI-assisted software development tools with validation of outputs.

Responsibilities

  • Executes creative software solutions, design, development, and debugging with ability to think beyond routine approaches.
  • Develops secure high-quality production code, and reviews and debugs code written by others.
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive architecture decisions.
  • Leads communities of practice across Software Engineering to promote new technologies and best practices.
  • Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Partners with stakeholders to translate strategic objectives into executable technology roadmaps and delivery plans.

Skills

Java
C#
.NET
CI/CD
Cloud
AI-assisted engineering

Tools

AWS
Azure

Job description

JPMorganChase is seeking a Lead Software Engineer to join the Commercial & Investment Bank - Marketing Platform team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment.

The role emphasizes AI-assisted development, security, and rapid delivery, including leading engineering practices, collaborating with senior stakeholders, and driving automation across the SDLC.

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