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Java Software Engineer III

Job in Seattle, King County, Washington, 98127, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
  • Develop secure and high-quality production code, and reviews and debugs code written by others
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect
  • Build and operate 24x7, tier‑1 online services

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Strong core engineering skills: hands‑on coding and system design for modern enterprise systems.
  • Proficiency in one or more of the following languages:
    Java, Golang or Rust
  • Proven track record building and operating 24x7, tier‑1 online services.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated experience in effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting)
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
  • Ability to tackle design and functionality problems independently
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