Senior Java Lead - AWS, Microservices, AI-Enabled Dev

JPMorgan Chase

Palo Alto (CA)

Vor Ort

USD 190.000 - 240.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

JPMorgan Chase is seeking a Lead Software Engineer in its Corporate Sector to help push the envelope in building trusted market-leading technology products. You will lead agile teams, deliver secure and scalable software, and drive adoption of AI-assisted engineering practices across the SDLC.

The role requires 5+ years of experience, deep knowledge of Java, microservices, Kafka, AWS, and PostgreSQL, and a strong focus on secure, resilient solutions with practical cloud-native experience.

Qualifikationen

  • Formal training or certification on software engineering concepts.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.

Aufgaben

  • Provides technical guidance to business and IT teams, contractors, and vendors.
  • Develops secure, high-quality production code, and reviews and debugs code written by others.
  • Drives adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, with measurable validation standards.
  • Applies knowledge of SDLC tooling to improve automation and value realized by automation at scale.
  • Drives decisions influencing product design, application functionality, and technical operations.
  • Acts as a function-wide subject matter expert in one or more areas of focus.
  • Advocates firmwide frameworks, tools, and practices of the Software Development Life Cycle.

Kenntnisse

Java
Microservices
Kafka
AWS
PostgreSQL
AI-assisted tools
Secure coding

Ausbildung

Software engineering certification

Tools

AI-assisted development tools
Code review automation

Jobbeschreibung

JPMorgan Chase is seeking a Lead Software Engineer in its Corporate Sector to help push the envelope in building trusted market-leading technology products. You will lead agile teams, deliver secure and scalable software, and drive adoption of AI-assisted engineering practices across the SDLC.

The role requires 5+ years of experience, deep knowledge of Java, microservices, Kafka, AWS, and PostgreSQL, and a strong focus on secure, resilient solutions with practical cloud-native experience.

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