обновлено 2 дня назад
Senior Systems Engineer (AI Gateway)
194 000 - 266 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Systems Engineer (AI Gateway): Building high-volume AI inference infrastructure across providers, models, and Cloudflare’s global network with an accent on distributed systems, high-throughput APIs, routing, observability, and developer experience. Focus on improving reliability, latency, cost efficiency, and debuggability while designing developer workflows, SDKs, dashboards, and AI-native engineering tools.
Location: In-office in Austin, TX or San Francisco, CA
Salary: $194,000–$266,000 annual salary for Bay Area-based hires; compensation may vary by work location.
Company
operates a global network that protects and accelerates Internet applications and provides infrastructure and developer platform products.
What you will do
- Build core AI Gateway systems handling high-volume inference traffic across providers, models, and ’s global network.
- Design APIs, routing primitives, observability capabilities, controls, and developer workflows.
- Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads.
- Collaborate across Workers AI, Agents, and the broader Developer Platform organization.
- Turn ambiguous product and technical ideas into prototypes, design documents, shipped features, and measurable production improvements.
- Develop SDKs, dashboards, documentation, tests, agents, evaluation loops, and operational tools while mentoring engineers through technical leadership.
Requirements
- 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge systems, high-scale APIs, or distributed systems.
- Strong fundamentals in networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs.
- Experience designing or scaling distributed systems where latency, throughput, availability, and correctness matter.
- Ability to work across API design, product surfaces, backend services, queues, storage systems, control planes, and performance-critical code.
- Strong technical communication and experience writing design documents, reviewing architecture, and aligning engineering and product partners.
- Comfort using AI-native development workflows, agents, tools, harnesses, and automation.
Nice to have
- Experience with AI/ML infrastructure, inference platforms, model gateways, LLM applications, or provider abstraction layers.
- Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale.
- Experience with proxy, edge, gateway, routing, traffic management, cost controls, rate limits, caching, retries, fallbacks, or AI workload observability.
- Experience with TypeScript, Go, Rust, or similar systems and backend languages.
- Experience building agentic development environments or products with AI Gateway, Workers AI, or a competing platform.
Culture & Benefits
- Hands-on individual contributor role focused on building and operating production infrastructure.
- Medical, dental, and vision insurance, flexible spending accounts, and family-forming benefits.
- 401(k), employee stock participation, disability insurance, and life and accident insurance.
- Flexible paid time off covering vacation and sick leave, plus parental, pregnancy health, medical, and bereavement leave.
- Global travel medical insurance and on-demand mental health support.
Hiring process
- Candidates who progress to the offer stage may be asked to attend an in-person interview at a office or hub.
- The role may require access to information protected under U.S. export control laws; employment may depend on authorization to receive controlled technology without export-license sponsorship.
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