Cloud / DevOps Engineer (Infrastructure & IaC

Join a cutting-edge GenAI team and help build the cloud infrastructure that supports the development of advanced AI models.

We’re looking for experienced Cloud and DevOps Engineers with strong, hands-on expertise in Kubernetes, AWS, Infrastructure-as-Code, and CI/CD. You’ll apply your production experience to create, evaluate, and improve technical tasks and solutions related to AI training and inference infrastructure.

This is a full-time, 40-hour-per-week opportunity for engineers who enjoy solving complex infrastructure problems and communicating technical concepts clearly. What You’ll Do

• Support research and engineering teams by identifying knowledge gaps across cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code.
• Design challenging, domain-specific technical tasks covering Kubernetes troubleshooting, AWS service integration, and infrastructure automation.
• Develop accurate, well-structured solutions to complex infrastructure engineering problems.
• Evaluate technical tasks and proposed solutions for correctness, reliability, and engineering quality.
• Create detailed guidelines, evaluation frameworks, and rubrics for assessing Kubernetes failure diagnosis, IaC design, and CI/CD reasoning.
• Collaborate with other infrastructure subject matter experts to maintain consistency, technical accuracy, and quality across training data.
• Apply your production engineering experience to help improve AI systems’ understanding of real-world cloud and DevOps environments.

• 4+ years of professional experience in cloud infrastructure, DevOps, site reliability engineering, platform engineering, or a closely related field.
• Strong hands-on production experience operating Kubernetes, including diagnosing and resolving cluster failures.
• Experience troubleshooting Kubernetes environments beyond simply authoring manifests or working exclusively with managed control planes.
• Production experience with Infrastructure-as-Code, particularly Terraform and/or AWS CDK.
• Hands-on production experience integrating AWS services, including:
• AWS Lambda
• API Gateway
• DynamoDB
• Experience building, maintaining, and owning CI/CD pipelines.
• Demonstrable career progression and increasing technical responsibility.
• Strong written communication skills and the ability to explain complex technical decisions clearly.
• Availability to work 40 hours per week during weekdays., Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, Engineering, Failure Analysis, Identify Issues, Problem Solving Skills, Reliability Engineering, Software Engineering, Technical Analysis, Writing Skills

Full-Time | Remote | United States | $156,000-$228,800 annualized ($75-$110/hour), Annualized compensation is based on 2,080 hours per year and does not represent a guaranteed annual salary. Why Join?

• Work at the intersection of cloud engineering, DevOps, and generative AI.
• Apply your production infrastructure expertise to advanced AI development.
• Tackle challenging Kubernetes, AWS, IaC, and automation problems.
• Help shape high-quality technical training and evaluation data.
• Collaborate with experienced engineers and technical subject matter experts.
• Make a direct contribution to improving the capabilities of next-generation AI systems.

Equal Opportunity