DevOps Engineer – Kubernetes, AWS, Terraform

This is a fully remote position, open to applicants in New York.

📋 Description

• Design and assess technically demanding Kubernetes infrastructure tasks

• Diagnose cluster malfunctions and pinpoint configuration, networking, scheduling, resource, or service issues

• Develop technically sound solutions to intricate Kubernetes operational challenges

• Review remediation strategies for accuracy and feasibility in production

• Design and evaluate infrastructure scenarios within production AWS environments

• Assess integrations involving AWS Lambda, API Gateway, and DynamoDB

• Evaluate architecture, service configuration, dependencies, scalability, reliability, and quality of implementation

• Design and assess infrastructure automation utilizing Terraform and/or AWS CDK

• Review Infrastructure as Code (IaC) architecture, resource definitions, dependencies, maintainability, accuracy, and operational safety

• Evaluate CI/CD pipeline designs and deployment processes

• Review automation for build, test, release, and deployment, including failure management, validation, and rollback strategies

• Design complex domain-specific problems related to cloud infrastructure, Kubernetes, and automation

• Write clear, well-structured solutions for infrastructure engineering assignments

• Assess tasks and proposed solutions for accuracy, completeness, and readiness for production

• Identify errors in infrastructure, architecture, automation, and reasoning

• Provide comprehensive written technical feedback

• Develop thorough evaluation frameworks and rubrics for infrastructure engineering tasks

• Collaborate with technical specialists to ensure accuracy and consistency

• Identify deficiencies in cloud infrastructure and DevOps reasoning

• Contribute expert knowledge in Kubernetes, AWS, Infrastructure-as-Code, and deployment engineering

• Clearly and precisely explain complex technical decisions

• Assist in enhancing technical training and evaluation materials

• Work alongside research, engineering, and subject-matter experts on advanced AI infrastructure and technical evaluation projects

⛳️ Requirements

• Over 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 role

• Strong hands-on experience managing Kubernetes in production

• Proven ability to diagnose and resolve Kubernetes cluster failures, beyond merely creating manifests or using managed control planes

• Production experience with Terraform and/or AWS CDK

• Direct production experience with AWS Lambda, API Gateway, and DynamoDB integrations

• Experience in building and maintaining CI/CD pipelines

• Strong understanding of cloud infrastructure, deployment automation, production reliability, and operational troubleshooting

• Demonstrable career progression within infrastructure, DevOps, SRE, or platform engineering

• Excellent written communication skills with the ability to articulate complex technical decisions clearly

• Professional experience in recognized, technically rigorous organizations is preferred

• Fully remote work within the United States

• Availability during weekdays is required

🏝️ Benefits

• Full-time position

• Fully remote work within the United States

• 40 hours per week

• Weekday availability is required

• Opportunity to contribute to advanced AI infrastructure and technical evaluation projects