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DevOps Engineer (Remote Opportunity)

Work from home Full-time role Hiring

Mind Computing is seeking a fulltime, 100% remote DevOps Engineer to support a project with the Department of Veterans Affairs. The ideal candidate will be responsible for designing, implementing, and managing scalable cloud infrastructure within Amazon Web Services (AWS), while ensuring optimal performance, security, reliability, and cost efficiency through the use of automation, Infrastructure as Code (IaC), and DevOps best practices. The candidate must reside within the continental US. Responsibilities:

  • Design, develop, and implement AWS cloud architecture leveraging services such as EC2, S3, RDS, VPC, ELB/ALB, EKS, and other AWS-native services, with a focus on scalability, high availability, and disaster recovery.
  • Provision and manage AWS resources, including compute, storage, networking, and databases, using the AWS Management Console, CLI, and infrastructure-as-code tools.
  • Develop and maintain automated deployment and provisioning of solutions using Terraform and AWS CloudFormation.

Implement and enforce cloud security best practices, including IAM, encryption at rest and in transit, network segmentation, logging, and compliance with applicable regulatory standards.

  • Monitor cloud environments for performance, availability, and cost optimization using AWS monitoring and alerting tools; proactively troubleshoot and resolve issues.
  • Integrate cloud infrastructure with CI/CD pipelines to streamline application builds and deployments, leveraging GitHub Actions.

Collaborate closely with development teams to understand application requirements and translate them into efficient, secure AWS-based solutions.

  • Manage application deployments and releases with minimal downtime, using containerization technologies such as Docker and orchestration platforms like Kubernetes (EKS).
  • 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.
  • Strong experience with infrastructure automation using Terraform and/or AWS CloudFormation.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell for automation and system administration.
  • Solid understanding of AWS security principles, shared responsibility model, and best practices for securing cloud environments.
  • Strong networking fundamentals, including subnetting, routing, load balancing, firewall rules, and VPN connectivity.
  • Proven ability to diagnose and resolve complex technical issues related to AWS infrastructure and CI/CD pipelines.
  • Working knowledge of continuous integration and continuous deployment (CI/CD) principles and tools.
  • Strong communication skills and the ability to collaborate effectively with cross-functional development teams.

Additional Qualifications:

  • Experience with the VA or other Government agencies.
  • One or more of the following certifications: AWS Certified DevOps Engineer – Professional or AWS Certified Advanced Networking – Specialty
  • Proven experience as DevOps Engineer.
  • Hands-on experience managing containerized workloads using Docker and Kubernetes (EKS).
  • Familiarity with modern CI/CD tools and practices, including GitHub Actions.
  • 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.

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