Parsons CorporationRemote
Senior Site Reliability Engineer (remote)
United States of America
Full Time
2 weeks ago
$104,000 - $181,000 USD
No H1B
Key skills
DevOpsSite Reliability EngineeringCI/CD pipeline automationJenkinsGitLabGitHubBitbucketAtlassian suiteSonarQubeJFrog ArtifactoryJFrog XrayPython scriptingBash scriptingInfrastructure as CodeTerraformCloudFormationAnsibleAWSAzureGCPDockerKubernetesMicroservices deploymentAnalytical skillsPythonBashAIOpenAIAgenticAtlassianCI/CD
About this role
Parsons Corporation is seeking a Senior Site Reliability Engineer to ensure system reliability, scalability, and automation in large-scale production environments. The role involves implementing DevOps best practices and optimizing CI/CD pipelines while collaborating with various teams to maintain high service availability and performance.
Responsibilities:
- Design, implement, and maintain scalable, reliable, and secure infrastructure supporting mission-critical applications and services
- Lead end-to-end CI/CD pipeline automation using Jenkins, GitLab, Bitbucket, and GitHub Enterprise ensuring seamless integration and delivery processes
- Manage and optimize artifact repositories and security scanning with JFrog Artifactory and Xray
- Collaborate with development, QA, and operations teams to ensure high availability, performance, and reliability of services
- Drive continuous improvement initiatives, automate repetitive tasks, and mentor junior engineers
- Provide after-hours support for production releases and participate in on-call rotations as needed
- Document processes, runbooks, and architectural decisions to ensure knowledge sharing and operational transparency
Requirements:
- 10+ years of experience in DevOps, Site Reliability Engineering, or related roles in large-scale production environments
- Proficiency with developer tools like Atlassian suite, Jenkins, GitLab, GitHub, SonarQube, and JFrog
- Strong scripting abilities (Python, Bash, or similar) and Infrastructure as Code (Terraform, CloudFormation, Ansible) for automation and tooling
- Experience with cloud platforms (AWS, Azure, or GCP)
- Solid understanding of containerization (Docker, Kubernetes) and microservices deployment
- Bachelor's or master's degree in computer science, Engineering, or the equivalent job-related experience
- AI experience would be preferred (GitHub Copilot, OpenAI, MCP, Agentic) but not a requirement
- Strong analytical and problem-solving skills with a passion for automation, reliability, and continuous improvement
- Ability to troubleshoot complex production issues and lead incident response efforts