Remote

We are sharing a specialised full-time opportunity for experienced Cloud and DevOps Engineers with strong hands-on expertise in Kubernetes operations, AWS infrastructure, Infrastructure-as-Code, and production CI/CD environments. This role supports advanced infrastructure-focused technical work involving cloud systems, cluster operations, infrastructure automation, and deployment pipelines. Selected engineers will design and evaluate challenging technical tasks, diagnose production-style infrastructure issues, develop rigorous solutions, and contribute expert feedback across Kubernetes, AWS, IaC, and DevOps workflows., Kubernetes Operations & Troubleshooting

• Design and evaluate technically challenging Kubernetes infrastructure tasks
• Diagnose cluster failures and identify underlying configuration, networking, scheduling, resource, or service issues
• Develop technically accurate solutions to complex Kubernetes operational problems
• Review proposed remediation approaches for correctness and production feasibility
• Apply hands-on operational judgement beyond basic manifest authoring or managed-control-plane usage

AWS Cloud Infrastructure

• Design and review infrastructure scenarios involving production AWS environments
• Evaluate integrations involving AWS Lambda, API Gateway, and DynamoDB
• Assess architecture, service configuration, dependencies, and operational considerations
• Identify technically incorrect assumptions or weak infrastructure designs
• Review solutions for scalability, reliability, and practical implementation quality

Infrastructure-as-Code

• Design and evaluate infrastructure automation using Terraform and/or AWS CDK
• Review IaC architecture, resource definitions, dependencies, and deployment approaches
• Assess maintainability, correctness, and operational safety of infrastructure definitions
• Identify configuration weaknesses and infrastructure automation risks
• Develop clear reference solutions for complex IaC scenarios

CI/CD Engineering

• Evaluate CI/CD pipeline designs and deployment workflows
• Review build, test, release, and deployment automation for technical soundness
• Assess pipeline dependencies, failure handling, and operational reliability
• Identify gaps in deployment logic, validation, or rollback planning
• Evaluate approaches for maintaining reliable delivery across production environments

Technical Task Design

• Design challenging, domain-relevant problems involving cloud infrastructure, Kubernetes, and automation
• Write accurate and well-structured solutions to infrastructure engineering tasks
• Develop scenarios that test practical diagnostic and engineering judgement
• Ensure tasks reflect realistic production environments and engineering constraints
• Calibrate technical difficulty and expected solution quality

Evaluation & Technical Review

• Evaluate infrastructure engineering tasks and proposed solutions
• Assess technical work for correctness, completeness, and production readiness
• Identify infrastructure, architectural, automation, and reasoning errors
• Provide clear written technical feedback
• Distinguish substantive engineering failures from minor implementation differences

Rubrics & Quality Standards

• Develop detailed evaluation frameworks for infrastructure engineering tasks
• Define criteria for cluster failure diagnosis, IaC design quality, and CI/CD reasoning
• Establish clear standards for technically correct and production-appropriate solutions
• Apply evaluation criteria consistently across complex engineering scenarios
• Collaborate with other technical experts to maintain accuracy and consistency

Technical Knowledge Development

• Help identify gaps in cloud infrastructure and DevOps reasoning
• Contribute expert knowledge across Kubernetes operations, AWS services, Infrastructure-as-Code, and deployment engineering
• Explain complex technical decisions clearly and precisely
• Evaluate unfamiliar infrastructure scenarios using first-principles engineering judgement
• Support improvement of technical training and evaluation materials

• 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

Engagement Details

• Full-time position
• Fully remote within the United States
• 40 hours per week
• Weekday availability required
• Compensation: $65-$100/hour
• Work focuses on Kubernetes operations, AWS infrastructure, Infrastructure-as-Code, CI/CD pipelines, and related technical evaluation
• Collaboration with research, engineering, and other subject-matter experts
• Opportunity to contribute to advanced AI infrastructure and technical evaluation workstreams

About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .