Remote Cloud DevOps Engineer

Peraton; Herndon (VA); Remote; USD 86,000 - 138,000; Full time

Job summary

Peraton is hiring a Cloud DevOps Engineer for a fully remote position. The role focuses on managing AWS cloud infrastructure, automation, and security practices for a DOI-driven multi-cloud hosting program.

This is a national US remote opportunity requiring US citizenship and eligibility for a Public Trust clearance. The candidate will work with CloudFormation, Terraform, Ansible, and GitLab Runners to automate deployments, monitor systems with CloudWatch and DataDog, and optimize costs while

Qualifications

• Experience designing, deploying and managing cloud-based solutions on AWS.
• Strong CI/CD experience and infrastructure as code tooling.
• Citizenship required; ability to obtain and maintain Public Trust clearance.

Responsibilities

• Analyze root cause and resolve system incidents.
• Respond to tickets in operations queue per SLAs.
• Manage AWS infrastructure using CloudFormation, Terraform, and Ansible.
• Automate routine tasks with Python, Bash, PowerShell.
• Set up observability with CloudWatch, DataDog, Prometheus, Grafana.
• Ensure security best practices and compliance.
• Optimize AWS costs without sacrificing performance.
• Collaborate with customer DevOps teams and attend weekly meetings.

Skills

AWS CloudOps

CI/CD

Scripting

Security best practices

Communication

Education

Bachelor's degree in CS/IS or related field

Tools

AWS CloudFormation

Terraform

Ansible

GitLab Runners

CloudWatch

DataDog

Prometheus

Grafana

ELK stack

Jira

Confluence

AWS CDK

Job description

Peraton is hiring a Cloud DevOps Engineer for a fully remote position. The role focuses on managing AWS cloud infrastructure, automation, and security practices for a DOI-driven multi-cloud hosting program.

This is a national US remote opportunity requiring US citizenship and eligibility for a Public Trust clearance. The candidate will work with CloudFormation, Terraform, Ansible, and GitLab Runners to automate deployments, monitor systems with CloudWatch and DataDog, and optimize costs while