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Full Stack Software Engineer III - Network Perimeter & CDN

Job in Seattle, King County, Washington, 98127, USA
Listing for: Worky
Full Time position
Listed on 2026-09-10
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, Full Stack Developer, DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Network Services team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job

responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Strong Python development skills, including writing well-tested, maintainable code
  • Experience building and maintaining APIs using Django and/or FastAPI (or similar frameworks)
  • Strong system design skills across distributed services, data stores (relational and No

    SQL), and messaging systems (for example, RabbitMQ)
  • Practical experience running services in the cloud, including Amazon Web Services patterns and services
  • Solid understanding of secure software development lifecycle practices, continuous integration/continuous delivery, and operational excellence (monitoring, alerting, incident response, resiliency)
  • Demonstrated ability to lead through influence via code reviews, technical decision-making, and mentoring within a team
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation)…
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