Platform Engineer
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About the role
At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are a primarily in-person company based in San Francisco. We are well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. We are generating revenue, growing rapidly, and trusted by companies you definitely know. Our team is small and talent-dense, consisting of competitive programmers, former founders (our founder previously co-founded a unicorn), and AI researchers from top institutions who have created a few of the most popular OSS code generation projects. "You guys are insane." - OpenAI team "Coframe makes you feel like you have a team of 100 people." - Replit team
Responsibilities
- Build internal platforms and AI loops that increase company iteration speed
- Strengthen security, compliance, and operational readiness
- Improve CI/CD, testing, deployments, and developer environments
- Evaluate and implement new tooling, storage, and compute systems
- Enable non-technical staff to build and ship improvements safely
- Enable technical teams to ship scalable, enterprise-ready systems faster
- Resolve incidents and production fires with both immediate fixes and long-term solutions
Benefits
Additional Information
We're looking for engineers to build the foundations of our engineering stack - from AI productivity and deployment to monitoring, security, and cost optimization. This is one of the highest-impact and highest-responsibility roles in the company. Your work will increase the productivity of every team and shape how we build going forward. You're a great fit if you have: Built and scaled complex infrastructure systems Worked with Kubernetes, ETL pipelines, AWS/GCP/Cloudflare, CI/CD, and SOC 2 environments Strong judgment across security, reliability, cost, and iteration-speed tradeoffs Been operating at the edge of AI-first development for some time Learned practical lessons from decades of enterprise-grade engineering patterns Strong opinions on how old systems should be improved or replaced High ownership and comfort working across many domains
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