DevOps Engineer

**About The Job** **Mercor** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark** , **General Catalyst** , **Peter Thiel** , **Adam D'Angelo** , **Larry Summers** , and **Jack Dorsey** . **Position:** Cloud Computing Expert **Type:** **Contract** **Compensation:** **$55–$75/hour** **Location:** **Remote** **Role Responsibilities** * Build a realistic digital workspace centered on the Drive folders you use daily. Include architecture docs, runbooks, RFCs, incident post\-mortems, capacity plans, cost reports, SRE review decks, and email threads. Represent platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta. * Design multi\-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents. * Collaborate with other cloud\-computing experts to design environments, shape task scope, and review scenarios for realism and rigor. * Work asynchronously with research teams to refine task designs and evaluation criteria for cloud\-computing agent benchmarks. * Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems. **Qualifications** **Must\-Have** * 3\+ years of full\-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud\-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team. * Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps. * Day\-to\-day use of HashiCorp Terraform/Pulumi, Splunk/Datadog, GitHub Actions/CircleCI, and Okta/Microsoft Entra ID. * Strong analytical thinking and writing skills. **Preferred** * Certifications: AWS Solutions Architect/SysOps/DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA/CKAD. **Compensation \& Legal** * Hourly contractor transitioning to compensation based on throughput of quality work. **Application Process (Takes 20–30 mins to complete)** * Upload resume * AI interview based on your resume * Submit form **Resources \& Support** * For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome * For any help or support, reach out to: support@mercor.com *PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*