Lead Java Engineer (AWS) — AI-Driven, Secure & Scalable

Next Frontier Capital

Palo Alto (CA)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Job summary

JPMorganChase in Palo Alto seeks a Senior Lead Software Engineer to guide teams, develop secure production code, and champion AI-assisted engineering practices across the SDLC. You will influence product design, drive governance, and serve as a domain expert in cloud-native systems and secure engineering.

The role emphasizes hands-on coding, architectural leadership, and collaboration with multiple stakeholders to deliver scalable technology solutions.

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 knowledge in Java, microservices, Kafka, AWS cloud, PostgreSQL or similar technologies.
  • Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools.
  • Strong understanding of responsible AI use in engineering workflows and security considerations.
  • Ability to tackle design and functionality problems independently with little oversight.

Responsibilities

  • Provides technical guidance to business teams, contractors, and vendors.
  • Develops secure, high-quality production code and reviews others' code.
  • Drives adoption of AI-assisted engineering practices and governance across teams.
  • Applies SDLC toolchain knowledge to improve automation at scale.
  • Influences product design, application functionality, and technical operations.
  • Acts as a subject matter expert across engineering areas.
  • Contributes to the engineering community by promoting firmwide frameworks and practices.

Skills

Java
Microservices
Kafka
AWS
PostgreSQL

Tools

AI-assisted tooling

Job description

JPMorganChase in Palo Alto seeks a Senior Lead Software Engineer to guide teams, develop secure production code, and champion AI-assisted engineering practices across the SDLC. You will influence product design, drive governance, and serve as a domain expert in cloud-native systems and secure engineering.

The role emphasizes hands-on coding, architectural leadership, and collaboration with multiple stakeholders to deliver scalable technology solutions.

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