Cloud Platform Engineer (SF)
Mercor · San Francisco
CHECKED 23H AGO
Applied AIonsite$190k–$230k
At a glance
Highlights
- Own the internal platform running Mercor's identity and cloud systems.
- Automate employee onboarding and offboarding end to end.
- Design identity architecture scaling from hundreds to thousands.
What they offer
- Equity
Ideal candidate
Systems thinker who loves automating manual work away and building reproducible platforms. You care about least-privilege access, clear documentation, and mentoring others as the company scales.
Requirements
- Hands-on production experience with Terraform, managing real infrastructure as code
- Production experience with Okta and SCIM integrations — ideally managed declaratively
- Strong skills with IAM roles and permissions across at least two major cloud platforms — AWS, GCP, or Azure — with Vercel a plus
- Proficiency in at least one programming language with demonstrated understanding of core coding principles
- Experience building automated workflows across systems via APIs
- Strong incident management skills: triage, root-cause analysis, and systems thinking
- Strong documentation skills — able to write technical guides other team members can follow and learn from
- Clear communication skills — able to explain technical identity and infrastructure concepts to non-technical stakeholders
- A systems-thinking mindset that naturally traces dependencies and considers second-order effects
- remote policy
- 5 days a week in office
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts