Cloudflare is seeking a Senior Software Engineer for People Ops and AI Tools to build AI-driven automation for hiring, onboarding, and employee lifecycle management. This on-site role in Austin, Texas, United States collaborates with HR, IT, Legal, and Security to translate operational pain into scalable technical solutions. You will ship production systems that automate hiring and onboarding, design robust guardrails for sensitive employee data, and leverage the Cloudflare Developer Platform (Workers, Workflows, Access, Hyperdrive, R2, and Workers AI) to create durable, secure, and observable automation. Responsibilities include AI-assisted intake and routing for requests, recruiting automation with Greenhouse, self-service policy guidance and approvals, multi-step onboarding/offboarding workflows, AI copilots to summarize context and suggest next actions, data reconciliation pipelines, and audit-friendly observability. You will build integration points via secure APIs, OAuth, and webhooks, and implement strong authorization and auditing for high-trust data. Required qualifications include a strong engineering background in TypeScript, Python, or Go; experience with LLMs, retrieval augmented generation, tool calling, and prompt evaluation; system-to-system integrations, identity, and event-driven workflows; a strong sense of privacy and operational risk. Desired: React, Drizzle, Zod, Postgres; prior internal platform engineering or compliance-heavy environments. We value curiosity, collaboration, and a bias toward practical, scalable solutions.

Cloudflare is seeking a Senior Software Engineer for People Ops and AI Tools to build AI-driven automation for hiring, onboarding, and employee lifecycle management. This on-site role in Austin, Texas, United States collaborates with HR, IT, Legal, and Security to translate operational pain into scalable technical solutions. You will ship production systems that automate hiring and onboarding, design robust guardrails for sensitive employee data, and leverage the Cloudflare Developer Platform (Workers, Workflows, Access, Hyperdrive, R2, and Workers AI) to create durable, secure, and observable automation. Responsibilities include AI-assisted intake and routing for requests, recruiting automation with Greenhouse, self-service policy guidance and approvals, multi-step onboarding/offboarding workflows, AI copilots to summarize context and suggest next actions, data reconciliation pipelines, and audit-friendly observability. You will build integration points via secure APIs, OAuth, and webhooks, and implement strong authorization and auditing for high-trust data. Required qualifications include a strong engineering background in TypeScript, Python, or Go; experience with LLMs, retrieval augmented generation, tool calling, and prompt evaluation; system-to-system integrations, identity, and event-driven workflows; a strong sense of privacy and operational risk. Desired: React, Drizzle, Zod, Postgres; prior internal platform engineering or compliance-heavy environments. We value curiosity, collaboration, and a bias toward practical, scalable solutions.