Senior Java Engineer - AI-Driven Microservices on AWS

JPMorgan Chase

Newark (DE)

Presencial

USD 120.000 - 160.000

Jornada completa

Hace 6 días
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Descripción de la vacante

JPMorgan Chase in Newark, United States, seeks a Lead Software Engineer - Java/Microservices/AWS within Commercial & Investment Bank's Post Trade Technology Reporting team to design, build, and deliver scalable, secure software. You will own end-to-end design, code, reviews, and modernization efforts across regions.

The role emphasizes agile practices, AI-assisted tooling, and robust testing to ensure performance and reliability in production environments.

Formación

  • 5+ years of experience in software engineering with formal training/certification.
  • Experience designing and implementing applications using Java and Spring Boot.
  • Hands-on experience with AWS Cloud technologies and modern cloud architectures.

Responsabilidades

  • Develop code that conforms to design and coding standards.
  • Create detailed unit tests and support QA and UAT.
  • Practice test-driven development, automated testing, and CI.
  • Participate in peer reviews to improve code quality and share knowledge.
  • Lead AI-assisted engineering practices to improve quality and delivery.
  • Apply SDLC tools and AI-assisted development to automate and improve outcomes.
  • Mentor junior developers and foster team growth.
  • Analyze programs and troubleshoot production issues; optimize performance.
  • Collaborate with regional and global team members and understand release processes.

Conocimientos

Java
Spring Boot
CI/CD
Agile methodologies

Educación

Formal training or certification in software engineering
5+ years experience

Herramientas

AWS Cloud

Descripción del empleo

JPMorgan Chase in Newark, United States, seeks a Lead Software Engineer - Java/Microservices/AWS within Commercial & Investment Bank's Post Trade Technology Reporting team to design, build, and deliver scalable, secure software. You will own end-to-end design, code, reviews, and modernization efforts across regions.

The role emphasizes agile practices, AI-assisted tooling, and robust testing to ensure performance and reliability in production environments.

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