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

Role overview

Qualifications

  • 4+ years of professional experience in cloud infrastructure, DevOps, Site Reliability Engineering, platform engineering, or related field
  • Strong hands-on production experience operating Kubernetes
  • Production experience with Terraform and/or AWS CDK
  • Demonstrable professional progression within infrastructure, DevOps, SRE, or platform engineering

Responsibilities

  • Design and evaluate technically challenging Kubernetes infrastructure tasks
  • Diagnose cluster failures and identify underlying configuration, networking, scheduling, resource, or service issues
  • Design and review infrastructure scenarios involving production AWS environments
  • Evaluate CI/CD pipeline designs and deployment workflows

About the company

24-MAG logo

24-MAG

Business Consulting & Services

Company details

IndustryBusiness Consulting & Services
Company size2 - 10

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Job 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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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