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DevSecOps Automation Engineer + TS​/SCI-FS Poly

Job in Annapolis Junction, Maryland, 20701, USA
Listing for: Clearance Jobs
Full Time position
Listed on 2026-09-06
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AWS, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 306000 USD Yearly USD 306000.00 YEAR
Job Description & How to Apply Below
Position: DevSecOps Automation Engineer [$306k/yr+] TS/SCI-FS Poly Jobs
Location: Annapolis Junction

Job Title

Annapolis Junction, MD Top Secret/SCI Full Scope Polygraph Mid Level Career (5+ yrs experience)

Job Description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Modernize enterprise security and continuous monitoring. Join our team to transition manual system authorizations into streamlined, automated workflows, leveraging AWS cloud infrastructure, Ansible, and Docker to ensure a robust and compliant security posture across the project lifecycle.

Summary:

• Facilitate infrastructure management, continuous integration, and automated environment deployment.
• Drive automation to streamline system security evaluations, approvals, and continuous monitoring across project life cycles.
• Support multi-team operational efficiency utilizing Linux, AWS, Docker, Python, and Ansible.

Qualifications & Compensation:
• Degree:
Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $306k+ yearly

Job Description:

• Facilitate infrastructure management, continuous integration, environment configuration, and automated deployment.
• Develop capabilities to transition manual system security evaluation and authorization into continuous monitoring and assessment workflows.
• Build and maintain robust Git Lab CI pipelines and automate provisioning using Ansible and Docker.
• Perform Linux systems administration and automate tasks via Python scripting.
• Deploy and support cloud-based services and infrastructure within AWS.
• Interface with and support data environments utilizing technologies such as Elasticsearch, NiFi, and MongoDB.

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