Senior Software Engineer, AI & Infrastructure Planning
Cloudflare, Inc.
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Job summary
Cloudflare, Inc. is seeking a Senior Software Engineer to build and operate an auditable, agent-driven planning platform for its massive distributed network.
You will design, deploy, and maintain scalable agents and workflows that translate capacity planning, forecasting, and cost modeling into automated, auditable processes. The role emphasizes security-conscious production systems, serverless/edge runtimes, and experience with LLMs, multi-agent orchestration, and robust data pipelines.
Qualifications
- Senior-level software engineering experience with security-conscious production systems you can point to (repos, releases, services).
- Strong TypeScript and comfort building on serverless or edge runtimes (the company 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, the company Workflows, or equivalents).
- 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.
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 company 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 RFCs, perform peer design reviews, and establish architectural standards for AI agent deployment across the organization.
Skills
Tools
Job description
At the company, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. the company protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by the company all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. the company was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At the company, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Austin, TX | Lisbon, Portugal | London, UK
The Snr Software Engineer, AI & Infrastructure Planning role helps the company build, deploy, and operate one of the world's largest distributed networks. You will build an auditable multi-agent system on the company’s platform to replace notebooks and email threads with agent-driven forecasts, supply plans, cost models, and workflow approvals into agent workflows that planners & executives rely on for decision analysis.
- 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 the company 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.
- 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 (the company 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, the company 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 may be adjusted depending on work location.
- For Portugal-based hires: Estimated annual salary of €66,000-€91,000
This role is eligible to participate in the company’s equity plan.
the company 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.
- 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
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by the company’s enterprise customers--at no cost.
In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of pro
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