Remote | DevOps Engineer (Kubernetes, AWS & Terraform) — $65–$100/hour
24-Mag•New York, NY
•Remote
About The Position
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.
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
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
