Job Description:
• Design and evaluate technically challenging Kubernetes infrastructure tasks
• Diagnose cluster failures and identify configuration, networking, scheduling, resource, or service issues
• Develop technically accurate solutions to complex Kubernetes operational problems
• Review remediation approaches for correctness and production feasibility
• Design and review infrastructure scenarios involving production AWS environments
• Evaluate integrations involving AWS Lambda, API Gateway, and DynamoDB
• Assess architecture, service configuration, dependencies, scalability, reliability, and implementation quality
• Design and evaluate infrastructure automation using Terraform and/or AWS CDK
• Review IaC architecture, resource definitions, dependencies, maintainability, correctness, and operational safety
• Evaluate CI/CD pipeline designs and deployment workflows
• Review build, test, release, and deployment automation, including failure handling, validation, and rollback planning
• Design challenging domain-relevant problems involving cloud infrastructure, Kubernetes, and automation
• Write accurate, well-structured solutions to infrastructure engineering tasks
• Evaluate tasks and proposed solutions for correctness, completeness, and production readiness
• Identify infrastructure, architectural, automation, and reasoning errors
• Provide clear written technical feedback
• Develop detailed evaluation frameworks and rubrics for infrastructure engineering tasks
• Collaborate with technical experts to maintain accuracy and consistency
• Identify gaps in cloud infrastructure and DevOps reasoning
• Contribute expert knowledge across Kubernetes, AWS, Infrastructure-as-Code, and deployment engineering
• Explain complex technical decisions clearly and precisely
• Support improvement of technical training and evaluation materials
• Collaborate with research, engineering, and subject-matter experts on advanced AI infrastructure and technical evaluation workstreams
Requirements:
• 4+ years of dedicated professional experience in cloud infrastructure, DevOps, Site Reliability Engineering, platform engineering, or a closely related field
• Experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, Platform Engineer, Site Reliability Engineer (SRE), or similar professional
• Strong hands-on production experience operating Kubernetes
• Demonstrated ability to diagnose and repair Kubernetes cluster failures, beyond simply authoring manifests or using managed control planes
• Production experience with Terraform and/or AWS CDK
• Direct production experience integrating AWS Lambda, API Gateway, and DynamoDB
• Experience building and owning CI/CD pipelines
• Strong understanding of cloud infrastructure, deployment automation, production reliability, and operational troubleshooting
• Demonstrable professional progression within infrastructure, DevOps, SRE, or platform engineering
• Strong written communication skills and ability to explain complex technical decisions clearly
• Professional experience within recognised, technically rigorous organisations is preferred
• Fully remote within the United States
• Weekday availability required
Benefits:
• Full-time position
• Fully remote within the United States
• 40 hours per week
• Weekday availability required
• Opportunity to contribute to advanced AI infrastructure and technical evaluation workstreams