Senior Systems Engineer building Cloudflare's AI Gateway: core infrastructure for high-volume multi-provider AI inference at the network edge. Design APIs, routing, observability, and developer tools while dogfooding AI-native workflows to ship durable, production systems quickly.
194k – 266k/yr
On-site5+ YOEFullstack Engineering
About the role
Responsibilities
Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network.
Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt.
Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product.
Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements.
Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads.
Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence.
Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter.
Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority.
Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise.
Requirements
5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems.
Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs.
Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter.
Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code.
Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful.
Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward.
A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production.
Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable.
Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity.
Nice-to-Haves
Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers.
Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale.
Hands-on experience with proxy, edge, gateway, routing, or traffic management systems.
Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice.
Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads.
Experience with TypeScript, Go, Rust, or similar systems/backend languages.
You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship.
You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing.
A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built.
Compensation & Benefits
Compensation
For Bay Area based hires: Estimated annual salary of $194,000-266,000
Equity: This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Health & Welfare: Medical/Rx Insurance, Dental Insurance, Vision Insurance, Flexible Spending Accounts, Commuter Spending Accounts, Fertility & Family Forming Benefits, On-demand mental health support and Employee Assistance Program, Global Travel Medical Insurance.
Financial: Short and Long Term Disability Insurance, Life & Accident Insurance, 401(k) Retirement Savings Plan, Employee Stock Participation Plan.
Time Off: Flexible paid time off covering vacation and sick leave, Leave programs including parental, pregnancy health, medical, and bereavement leave.
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