Cloudflare
Senior Software Engineer, Deploy at Scale
$185K–$266K
Hybrid +4 · Senior · Full-time · Posted Sep 9, 2026
- Location
- Hybrid
Austin, TX, United States
London, United Kingdom
New York, New York, United States
San Francisco, CA, United States - Experience
- 8+ years of hands-on software engineering experience.
- Visa sponsorship
- Any offer may be conditioned on authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Provide technical leadership for Cloudflare’s deployment platform, enabling safe, reliable, automated releases across its global infrastructure.
What you'll do
- Set technical direction and architecture for deployment safety across multiple work streams; shape the roadmap and lead cross-team design reviews, RFCs, and incident retrospectives.
- Develop platform capabilities for automated, health-mediated deployments and unify release orchestration, health mediation, feature flagging, and configuration rollback.
- Unblock and mentor engineers, partner with internal customers, and help determine where AI should support the platform and its operators.
What they ask for
- 8+ years of hands-on software engineering experience, including end-to-end architecture ownership for complex, distributed, production-critical systems.
- Demonstrated technical leadership through RFCs, design reviews, and cross-team influence.
- Deep experience with production safety, observability, and automation, including rollback paths, health signals, and guardrails.
- Strong written and verbal communication; able to define problems and roadmaps amid ambiguity.
Nice to have
- Experience with workflow orchestration, long-running/durable execution, or large-scale distributed systems.
- Experience owning a deployment, progressive delivery, or change-management platform at scale, or leading a technical migration across many teams.
Pay
$194,000 - $266,000 USD annual salary (base salary, San Francisco); $185,000 - $254,000 USD annual salary (base salary, New York City)
AI focus
Use AI-assisted development critically and help define where and how AI assists the deployment platform and its human operators, including appropriate trust boundaries for safety-critical systems.
Model-written summary · the original posting is authoritative