JPMorgan Chase
Lead Software Engineer - CDN SME
$157K–$215K
Seattle, WA · Full-time · Posted Sep 30, 2026
- Experience
- 5+ years of applied software engineering experience; 3+ years of hands-on software engineering experience owning CDN production systems and frameworks. Preferred: 5+ years of Akamai or Cloudflare operational experience.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads the design, deployment, and operation of production CDN and network services, while improving automation, delivery practices, and engineering standards.
What you'll do
- Design and manage CDN applications using Cloudflare and/or Akamai; build and operate production services.
- Develop IaC/GitOps automation and automate network infrastructure and provisioning workflows, including API integrations and, where needed, React interfaces.
- Lead system design, pipelines, code reviews, mentoring, and responsible adoption of AI-assisted engineering practices.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- 3+ years of hands-on software engineering experience owning CDN production systems and frameworks.
- System design experience across distributed services, relational and NoSQL data stores, and messaging systems; practical cloud experience including AWS.
- Experience with secure SDLC, CI/CD, operational excellence, technical leadership, and responsible use and validation of approved AI-assisted development tools.
Nice to have
- 5+ years of operational experience with Akamai or Cloudflare, preferably in banking or financial enterprise; Infrastructure as Code experience.
- React familiarity; production use of AI-assisted coding/design tools with security and quality controls; regulated-environment experience.
Pay
USD 156,750.00-$215,000.00 base salary
Tools
Cloudflare, Akamai, AWS, RabbitMQ, React, IaC, GitOps
AI focus
Leads adoption of enterprise-authorized AI-assisted engineering for coding, code review, refactoring, testing, troubleshooting, and incident/root-cause analysis, with validation for correctness, performance, security, and responsible handling of sensitive data.
Model-written summary · the original posting is authoritative