Senior Software Engineer, AI & Infrastructure Planning

Responsibilities: Collaborate closely with capacity planning, networking, and data center engineering teams to encode technical domain expertise into structured specifications, formal data contracts, and agent functional capabilities. Architect, deploy, and maintain scalable production agents and durable workflows leveraging the Cloudflare Workers ecosystem, including Durable Objects, Workflows, D1, R2, Queues, Vectorize, Workers AI, and AI Gateway. Translate core infrastructure planning functions—such as forecasting, supply planning, cost modeling, narrative documentation, and executive approvals—into automated LLM deployment or deterministic logic based agent workflows designed for critical decision-making analysis. Implement rigorous risk tiering, formal approval checkpoints, detailed audit logs, and execution lineage to ensure safe autonomous operations. Incorporate predictive statistical and machine learning models into agent systems, establishing robust BigQuery data pipelines, optimized access patterns, and continuous monitoring. Author comprehensive technical specifications and Requests for Comments (RFCs), perform peer design reviews, and establish architectural standards for AI agent deployment across the organization.

Desirable Skills, Knowledge, and Experience: Senior-level software engineering experience, with security conscious production systems you can point to (repos, releases, services you operated).Strong TypeScript, and comfort building on serverless or edge runtimes (Cloudflare Workers preferred). HTTP APIs, async, queues, performance. Experience with LLMs and agents: tool calling, structured output, multi-step or multi-agent orchestration, prompt and eval iteration. Experience with durable state and workflows (Durable Objects, Cloudflare Workflows, or equivalents such as Templets updraoral or Step Functions).Demonstrated experience in infrastructure planning: capacity planning, forecasting, networking, CDN, cloud or data center capacity, or adjacent work. We will teach you our specific systems. Solid data skills: SQL, a cloud data warehouse (BigQuery preferred), and working knowledge of forecasting and statistical modeling (backtesting, error metrics, knowing when a model is wrong).Clear written communication: specs, RFCs, and explanations that planners and executives can use.

Bonus Points: A data science or ML background (time series, optimization, predictive modeling) and Python for scientific computing. Experience with Hono, Zod, OpenAPI, and a modern frontend framework (Astro or React).Experience with peering, BGP, ASN and IX data, backbone or transit planning, or colo, power, and procurement planning. Experience with agent frameworks (LangGraph, Autogen, A2A) and knowing what to borrow and what to discard. CI/CD and infrastructure as code (GitLab CI, Terraform).Experience building LLM evaluation frameworks or human-review workflows. Bias for simple, scalable designs.

Compensation: Compensation may be adjusted depending on work location. For Portugal-based hires: Estimated annual salary of €66,000-€91,000 EquityThis role is eligible to participate in Cloudflare's equity plan.

Benefits: Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.Health & Welfare Benefits 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 Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation PlanTime OffFlexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave