DevOps Engineer – Kubernetes, AWS, Terraform

Job not on LinkedIn

🔥 13 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $65 - $100 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 0%

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 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