Senior Software Engineer - Secure, Scalable Java + AWS

JPMorgan Chase & Co.

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Software Engineer III to join the Authentication Technology division. You will work on designing and delivering trusted technology products in a secure, scalable way within an agile team.

You will contribute to architecture, coding, testing, and continuous improvement, with exposure to cloud, security, and modern backend frameworks. This role emphasizes code quality and data-driven engineering practices.

Qualifications

  • Formal training or certification in software engineering.
  • 3+ years of hands-on experience in design, development, testing, and stability.
  • Proficient in Java with Spring Boot, microservices, and AWS.
  • Experience with SDLC and modern programming languages and databases.

Responsibilities

  • Executes software solutions, design, development and troubleshooting across complex problems.
  • Produces secure, high-quality production code and maintains algorithms.
  • Creates architecture and design artifacts for complex applications.
  • Gathers and analyzes large data sets to drive improvements in software.
  • Identifies hidden data patterns to improve coding hygiene and system architecture.
  • Contributes to engineering communities and explores new technologies.
  • Promotes team culture of diversity, inclusion and respect.

Skills

CI/CD
Agile methodologies
Security
Cloud concepts

Education

Formal training or certification in software engineering
3+ years applied experience

Tools

Java
Spring Boot
Microservices
AWS

Job description

JPMorganChase is seeking a Software Engineer III to join the Authentication Technology division. You will work on designing and delivering trusted technology products in a secure, scalable way within an agile team.

You will contribute to architecture, coding, testing, and continuous improvement, with exposure to cloud, security, and modern backend frameworks. This role emphasizes code quality and data-driven engineering practices.

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