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Mercor

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Cloud Computing Architect - AI Projects

Cloud EngineerCloud EngineerPart TimeRemoteMid LevelH1B No Sponsor

Location

United States

Posted

21 days ago

Salary

$55 - $75 / hour

Seniority

Mid Level

Job Description

Cloud Computing Architect - AI Projects

Mercor

Role Description 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, including 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, requiring 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, directly informing 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. Requirements - Hourly contractor transitioning to compensation based on throughput of quality work. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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