Senior Software Engineer, AI & Infrastructure Planning

Requirements

  • Senior-level software engineering experience with security conscious production systems.
  • Strong TypeScript skills and experience building on serverless or edge runtimes (Cloudflare Workers preferred).
  • Experience with LLMs and agents, including tool calling, structured output, and multi-agent orchestration.
  • Experience with durable state and workflows such as Durable Objects, Cloudflare Workflows, or equivalents.
  • Demonstrated experience in infrastructure planning (capacity planning, forecasting, networking, CDN, cloud, or data center capacity).
  • Solid data skills including SQL, cloud data warehouses (BigQuery preferred), and statistical modeling knowledge.
  • Clear written communication skills for writing specs, RFCs, and explanations for planners and executives.

Nice to Haves

  • Data science or ML background, especially in time series, optimization, and predictive modeling with Python.
  • Experience with Hono, Zod, OpenAPI, and modern frontend frameworks like Astro or React.
  • Knowledge of peering, BGP, ASN and IX data, backbone or transit planning, colo, power, and procurement planning.
  • Experience with agent frameworks such as LangGraph, Autogen, or A2A.
  • CI/CD and infrastructure as code familiarity (GitLab CI, Terraform).
  • Experience building LLM evaluation frameworks or human-review workflows.
  • Bias for simple and scalable system designs.

What You'll Be Doing

  • Collaborating with capacity planning, networking, and data center teams to encode domain expertise into structured agent capabilities.
  • Architecting, deploying, and maintaining scalable production agents and durable workflows using Cloudflare Workers ecosystem.
  • Translating infrastructure planning tasks like forecasting and cost modeling into automated LLM or deterministic agent workflows.
  • Implementing risk tiering, approval checkpoints, audit logs, and execution lineage for safe autonomous operations.
  • Incorporating predictive statistical and machine learning models with robust data pipelines and monitoring.
  • Authoring technical specifications, RFCs, conducting peer reviews, and setting architectural standards for AI agent deployment.

Perks and Benefits

  • Comprehensive health and welfare benefits including medical, dental, vision, fertility, mental health support, and more.
  • Financial benefits such as disability insurance, life and accident insurance, 401(k) retirement plan, and employee stock participation.
  • Flexible paid time off including vacation, sick leave, and various leave programs (parental, medical, bereavement).
  • Eligible to participate in Cloudflare’s equity plan.
  • Opportunities to work in Austin, TX; Lisbon, Portugal; or London, UK with location-based compensation adjustments.
AI Summary ✨

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