Mercor
Cloud Platform Engineer (SF)
San Francisco · Full-time
Sponsorship not specifiedDetected 42 days ago
AWSGCPAzureCloud PlatformsTerraformPlatform EngineeringOnboardingCommunication
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Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- This role reports directly to the Head of IT and is critical to our operational foundation.
Responsibilities
- Own Mercor's identity infrastructure - Okta configuration and provisioning - managed as code in Terraform rather than clicked through a console
- Design and implement SCIM integrations across our SaaS stack, automating user provisioning and deprovisioning
- Own identity planning and architecture as we scale: access models, group strategy, and how entitlements evolve from hundreds to thousands of employees
- Own cloud account structure, IAM roles, and permission boundaries across AWS, GCP, Azure, and Vercel, keeping access least-privilege as the org grows
- Build and maintain Terraform for internal platforms so environments are reproducible and every change is reviewable
- Build automation that cuts manual ticket volume for employee onboarding and offboarding
- Design and own secrets management, key rotation, and service-account lifecycle
- Troubleshoot identity and infrastructure issues, trace root causes, and implement systemic fixes
- Document platform architecture, runbooks, and automation so the team can operate and extend it
Requirements
- Hands-on production experience with Terraform, managing real infrastructure as code
- Production experience with Okta and SCIM integrations - ideally managed declaratively
- Proficiency in at least one programming language with demonstrated understanding of core coding principles
- You may be a good fit if you have:
Skills
- 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
- triage, root-cause analysis, and systems thinking
- Location and Commitment
- San Francisco, CA.
- Full-time, five days a week in office.
- Mercor's mission is to organize human intelligence to power the AI economy.
- Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models.
- Mercor's APEX benchmark family measures AI's real-world impact on professional work.
- Mercor Enterprise brings this same infrastructure to Fortune 500 companies:
- helping companies capture how their best people actually work, translating that expertise directly back into agents.
This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.