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Lead Software Engineer - CDN SME

Job in Washington, District of Columbia, 20022, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-10-19
Job specializations:
  • Software Development
    DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan

Chase within the Network Services team, you will be the SME on deploying and operating applications using CDNs from one or both of Akamai and Cloudflare. You will partner with stakeholders to deliver capabilities that improve performance, reliability, and safety. You’ll design, build, and run production services, drive system design decisions, and strengthen engineering standards across the team. You’ll contribute to an inclusive culture grounded in respect, ownership, and continuous improvement.

Job responsibilities

Share expertise and operational experience in designing and managing CDN applications leveraging Cloudflare and/or Akamai.

Develop IaC/Git Ops-based automation.

Apply responsible AI-assisted development workflows to accelerate delivery while maintaining strong engineering discipline

Automate network services infrastructure and network provisioning workflows, including API integrations and (where needed) React-based user interface components

Lead system design efforts and produce clear architecture and design artifacts to support high-quality technical decisions

Review code, coach engineers, and raise standards across testing, continuous integration/continuous delivery, security, and reliability

Build and maintain high-quality delivery pipelines with automated tests, meaningful coverage, and pragmatic quality gates

Partner with internal teams and evaluate external vendors when it accelerates outcomes and aligns to the target architecture

Contribute to an inclusive team culture that values collaboration, accountability, and continuous improvement

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.

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.

Job responsibilities
  • Share expertise and operational experience in designing and managing CDN applications leveraging Cloudflare and/or Akamai.
  • Develop IaC/Git Ops-based automation.
  • Apply responsible AI-assisted development workflows to accelerate delivery while maintaining strong engineering discipline
  • Automate network services infrastructure and network provisioning workflows, including API integrations and (where needed) React-based user interface components
  • Lead system design efforts and produce clear architecture and design artifacts to support high-quality technical decisions
  • Review code, coach engineers, and raise standards across testing, continuous integration/continuous delivery, security, and reliability
  • Build and maintain high-quality delivery pipelines with automated tests, meaningful coverage, and pragmatic quality gates
  • Partner with internal teams and evaluate external vendors when it accelerates outcomes and aligns to the target architecture
  • Contribute to an inclusive team culture that values collaboration, accountability, and continuous improvement
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis…
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