DevOps Engineer
Job Summary
Leidos is seeking a DevOps Engineer to support CDC DHP cloud-based analytics, deployment, monitoring, and operational sustainment. This role focuses on CI/CD processes, release management, and infrastructure automation for public health programs. The position requires strong expertise in cloud operations and systems administration within complex analytical environments.
Responsibilities
- Manage CI/CD pipelines and deployment automation
- Maintain development, test, and production environments
- Conduct troubleshooting and operational monitoring
- Develop technical documentation and procedures
Required Skills
- Azure DevOps & Git proficiency
- Infrastructure automation & configuration management
- Cloud analytics support experience
- Strong system administration skills
Job Details
Primary Responsibilities:
- Support CI/CD pipelines, deployment automation, and release management activities.
- Maintain development, test, and production environments.
- Support monitoring, troubleshooting, and operational readiness activities.
- Assist with infrastructure automation and configuration management.
- Support cloud-based analytics and modernization initiatives.
- Develop technical documentation and operational procedures.
Basic Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or related discipline.
- 5+ years of experience supporting DevOps, cloud operations, systems administration, or infrastructure engineering.
- Experience with Azure DevOps, Git, CI/CD, and automation scripting.
- Strong troubleshooting and operational support skills.
- Ability to obtain/maintain a Public Trust Security Clearance.
Preferred Qualifications:
- Experience supporting CDC, HHS, or public health analytics environments.
- Experience with Databricks, Azure, Kubernetes, Docker, or similar platforms.
- Experience with EDAV (Databricks, Azure Data Factory, Delta Lake, R Studio, PowerBI, Tableau), 1CDP (Palantir Foundry), Azure SQL, Azure DevOps, or similar platforms.
- Experience supporting migration from SAS to other analytics solutions (e.g., R, Python, Databricks, Palantir Foundry).
- Experience supporting cloud-based analytics or modernization initiatives.
- Azure Fundamentals (AZ-900), Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or equivalent certifications.