TS/SCI Cleared Senior DevOps Engineer | Kubernetes & CI/CD

Energy Jobline ZR; Takoma Park (MD); On-site; USD 131,000 - 237,000; Full time

Benefits offered by this job

Health and Wellness programs

Paid Leave and Retirement

Income Protection

Job summary

Leidos seeks a TS/SCI cleared Senior DevOps Software Engineer to lead a DevOps team on the DOMEX Technology Platform. You will design, deploy, and maintain a containerized microservices architecture, coordinating with systems engineering, architecture, and security teams.

You will drive CI/CD pipelines, feature delivery, and SAFe planning, while ensuring high availability of Kubernetes, Elasticsearch, and Kafka-based services.

Qualifications

• BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field.
• 10+ years of experience with Master’s degree.
• Active TS/SCI security clearance with ability to obtain and maintain a Polygraph.
• DoD 8570.01M IAT Level II or higher certification (e.g., Security+, CySA+, CCNA Security, CISSP).

Responsibilities

• Lead a DevOps team for design, deployment and maintenance of a containerized microservices architecture.
• Develop and support scalable, redundant infrastructure on Linux and cloud environments.
• Own and prioritize the Agile team backlog and support SAFe PI planning.

Skills

Kubernetes

GitLab CI/CD

Linux OS

SAFe / Agile

Product Owner experience

Elasticsearch / ELK

Kafka

Helm

ArgoCD

cert-manager

Education

Bachelor's degree in Engineering/CS/Systems Engineering

Master's degree

Tools

Elasticsearch

Logstash

Kibana

Kafka

Helm

ArgoCD

External-secrets

N/A eck (ElasticSearch)

Job description

Leidos seeks a TS/SCI cleared Senior DevOps Software Engineer to lead a DevOps team on the DOMEX Technology Platform. You will design, deploy, and maintain a containerized microservices architecture, coordinating with systems engineering, architecture, and security teams.

You will drive CI/CD pipelines, feature delivery, and SAFe planning, while ensuring high availability of Kubernetes, Elasticsearch, and Kafka-based services.