Remote | DevOps Engineer (Kubernetes, AWS & Terraform) — $65–$100/hour

24-Mag

  • New York, New York
  • 15 days ago
  • Remote

    Highlights

    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. 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.

    Numbers & Facts

    LocationNew York, New York (
    Remote
    )
    Website4-mag.com/privacy-policy

    Description

    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.

    Key Responsibilities

    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

    Ideal Profile

    • 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: https://www.24-mag.com/privacy-policy.

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