Senior DevOps Platform Engineer - Kubernetes, CI/CD

Base-2 Solutions; Chevy Chase (MD); On-site; USD 130,000 - 190,000; Full time

Job summary

Base-2 Solutions seeks a highly skilled DevOps/Platform Engineer to design, deploy, and maintain a full-stack containerized microservices architecture in a mission-focused environment. You will work on a production big data pipeline using Kubernetes, Elasticsearch, and Kafka, while advancing CI/CD processes and infrastructure automation.

The role requires TS/SCI clearance eligibility, Linux mastery, container expertise, and collaboration across cross-functional teams in an Agile setting.

Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Bachelor's degree with 6+ years related experience (or 9 years with other education).
• Strong Linux proficiency.
• Hands-on experience with containers and Kubernetes.
• Experience with CI/CD orchestration and GitLab.
• Familiarity with Elasticsearch, Logstash, and Kibana.
• Demonstrated success working in cross-functional engineering environments.

Responsibilities

• Deploy, triage, and maintain a production big data pipeline using a microservice architecture on Kubernetes with Elasticsearch and Kafka.
• Enhance, improve, and maintain CI/CD and DevOps scripts and processes.
• Design, develop, and support scalable infrastructure including physical and virtual environments.
• Use Helm to configure Kubernetes deployments for new features.
• Collaborate with systems engineering, architecture, development, security, operations, and integration teams.
• Participate in Agile release planning and related meetings.

Skills

Linux proficiency

Containers & Kubernetes

CI/CD with GitLab

Elasticsearch/Logstash/Kibana

Cross-functional collaboration

Problem solving

Education

Bachelor's degree

Associate's degree

Master's degree

PhD

High School Diploma/GED

Tools

GitLab

Kubernetes

Helm

Prometheus

Grafana

Nexus

SALT

Job description

Base-2 Solutions seeks a highly skilled DevOps/Platform Engineer to design, deploy, and maintain a full-stack containerized microservices architecture in a mission-focused environment. You will work on a production big data pipeline using Kubernetes, Elasticsearch, and Kafka, while advancing CI/CD processes and infrastructure automation.

The role requires TS/SCI clearance eligibility, Linux mastery, container expertise, and collaboration across cross-functional teams in an Agile setting.