# Systems Engineer, Product Platform Tools at Cloudflare

- Company: Cloudflare
- What the company does: Welcome to Cloudflare - Powering the next generation of applications. Backed by NEA.
- Company website: https://www.cloudflare.com/
- Type: Startups
- Level: Mid level
- Location: Austin, TX, United States
- Work setup: On-site
- Posted: 2026-07-27
- Apply by: 2026-10-12
- Apply: https://boards.greenhouse.io/cloudflare/jobs/8089031?gh_jid=8089031
- Page: https://www.1752.vc/careers/jobs/cloudflare-systems-engineer-product-platform-tools/

## About the role

The Product Platform Tools team builds and operates Cloudflare's internal support and admin platform - the foundation that customer-facing and operational teams across the company rely on to do their jobs. As a Systems Engineer on this team, you'll design and build the backend services, infrastructure, APIs, and integrations that power this platform at enterprise scale, working closely with both engineering teams and non-engineering stakeholders like Support, Legal, and Security (who depend on it daily).

## What they're looking for

- 5+ years of professional experience building and operating production backend services at enterprise or large-scale organizations, with strong proficiency in Go and/or TypeScript
- Demonstrated experience in platform engineering, internal tooling, or support/admin systems — with direct experience supporting non-technical end users or customer-facing teams
- Strong understanding of authorization and authentication systems such as OAuth 2.0, OIDC, JWT, OPA/Rego, role-base access control, policy based-access or similar and a security-first approach to system design
- Proven scalability mindset — experience designing and operating systems that serve a large, diverse set of internal consumers with varying reliability and performance requirements
- Proven ability to work across organizational boundaries: comfortable engaging with engineering teams, Security, Legal, and non-technical operational stakeholders alike
- Confident working in unfamiliar and legacy codebases, able to ramp quickly, orient independently, and contribute incrementally without full context

Tags: Engineering