Design, implement, and manage scalable AWS infrastructure (EC2, S3, RDS, VPC, EKS) using IaC (Terraform/CloudFormation), automation, containerization (Docker, Kubernetes), and CI/CD (GitHub Actions). Enforce cloud security (IAM, encryption, network segmentation), monitor and optimize performance/cost, troubleshoot infrastructure and deployment issues, and collaborate with development teams. Support VA project requirements, undergo background checks, and complete fingerprinting.
Mind Computing is seeking a full-time, 100% remote DevOps Engineer to support a project with the Department of Veterans Affairs (VA). The ideal candidate will design, implement, and manage scalable cloud infrastructure within Amazon Web Services (AWS) while ensuring optimal performance, security, reliability, and cost efficiency through automation, Infrastructure as Code (IaC), and DevOps best practices. This role partners closely with development teams to deploy and support cloud-based applications across multiple environments while leveraging AI-assisted tools to improve automation, operational efficiency, and delivery speed.
The candidate must reside within the continental US.
Responsibilities:
- Design, implement, and maintain secure, scalable, and highly available AWS cloud infrastructure using services such as EC2, S3, RDS, VPC, ELB/ALB, EKS, IAM, and other AWS-native technologies.
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools including Terraform and AWS CloudFormation.
- Develop and maintain CI/CD pipelines using GitHub Actions and DevOps best practices to automate application deployments.
- Deploy, manage, and support containerized applications using Docker and Kubernetes (Amazon EKS).
- Implement AWS security best practices, including IAM, encryption, network segmentation, logging, monitoring, and compliance controls.
- Monitor, troubleshoot, and optimize cloud environments for performance, availability, reliability, and cost efficiency.
- Collaborate with software developers and cross-functional teams to design secure, scalable cloud solutions that meet application and business requirements.
- Utilize AI-assisted development and operations tools (such as GitHub Copilot, Cursor, ChatGPT, or similar) to accelerate scripting, infrastructure automation, documentation, and troubleshooting while validating all AI-generated outputs for security, accuracy, and compliance.
- Support production releases, incident response, infrastructure maintenance, and other technical initiatives as required.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Qualifications:
- Bachelor’s in Computer Science, Engineering, or a related field.
- 5+ years of relevant experience as a DevOps Engineer.
- Hands on experience designing and supporting AWS cloud infrastructure in production environments.
- Strong experience with Infrastructure as Code (Terraform and/or AWS CloudFormation).
- Experience building and maintaining CI/CD pipelines using GitHub Actions or similar tools.
- Experience with Docker and Kubernetes (Amazon EKS).
- Proficiency in Python, Bash, or PowerShell scripting.
- Strong understanding of AWS networking, security, IAM, encryption, and the AWS Shared Responsibility Model.
- Solid understanding of networking concepts, including subnetting, routing, VPNs, load balancing, and firewall rules.
- Experience troubleshooting complex cloud infrastructure and deployment issues.
- Strong communication and collaboration skills within Agile development environments.
Additional Qualifications:
- Experience with the VA or other Government agencies.
- Experience supporting Authority to Operate (ATO) processes or secure government cloud environments.
- Experience leveraging AI-assisted development tools for DevOps automation and infrastructure management.
- One or more of the following certifications: AWS Certified DevOps Engineer – Professional or AWS Certified Advanced Networking – Specialty or AWS Certified Solutions Architect - Associate/Professional.
- Ability to obtain government clearance.
Benefits:
- Medical/Dental/Vision
- PTO + Federal Holidays
- Corporate Laptop
- Training opportunities
- 401(k) with employer match
- Remote work options
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
Mind Computing is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
At this time, we are unable to offer sponsorship.
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Design, implement, and maintain a secure Azure-based integration platform. Build and manage GitHub CI/CD pipelines, automate provisioning with Terraform and PowerShell, support Azure system administration and container deployments, implement DevOps/DevSecOps best practices, troubleshoot production issues, document systems, and collaborate with cross-functional teams to improve reliability and security.
Top Skills:
.NetAksAzureAzure DevopsChatgptCi/CdDevsecopsDockerGitGithub ActionsGithub CopilotInfrastructure As Code (Iac)KubernetesPowershellTerraform
Gaming • Software
The Senior DevOps Engineer will architect and maintain CI/CD pipelines, manage AWS infrastructure, deploy Kubernetes, and promote DevOps practices.
Top Skills:
AWSDockerGroovyJenkinsKubernetesPythonTerraform
AdTech • Artificial Intelligence • Marketing Tech
As a Senior DevOps Engineer, you will manage and optimize multi-cloud infrastructure, drive Infrastructure as Code, improve CI/CD processes, and enhance system reliability and performance.
Top Skills:
AWSBigQueryCloudflareEksElkGCPHetznerKubernetesOpensearchRdsS3SqsTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
