Senior DevOps Engineer - Kubernetes & Data Pipelines

RPMGlobal

Bethesda, Northern (MD, KY)

Hybrid

USD 150,000 - 190,000

Full time

4 days ago
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Job summary

RPMGlobal is seeking a senior system engineer to design, deploy, and maintain a full-stack containerized microservices architecture for mission-focused platforms. You will manage production pipelines on Kubernetes with Elasticsearch and Kafka, while advancing CI/CD, Helm configurations, and cross-functional collaboration across engineering, security, and operations teams.

The role requires a TS/SCI clearance, ten years of relevant experience, and strong Linux plus containerized environments.

Qualifications

  • Bachelor's degree with 10+ years in the field required
  • Active TS/SCI with ability to obtain CI Polygraph required
  • Strong Linux proficiency expected
  • Hands-on experience with containers and Kubernetes essential
  • Experience with CI/CD orchestration and GitLab imperative
  • Familiarity with Elasticsearch, Logstash and Kibana recommended
  • Experience working in cross-functional engineering environments preferred

Responsibilities

  • Deploy, triage, and maintain a production big data pipeline on Kubernetes
  • Enhance CI/CD pipelines and DevOps scripts and processes
  • Design and support scalable, redundant infrastructure
  • Configure Kubernetes deployments with Helm
  • Collaborate with multiple engineering and security teams
  • Participate in Agile release planning and related meetings

Skills

Linux
Containers
Kubernetes
CI/CD
GitLab
Elasticsearch
Logstash
Kibana
Cross-functional collaboration
Agile methodologies

Education

Bachelor's degree with 10 years of experience
Master's degree with 10 years of experience
PhD with 10 years of experience

Tools

Bash
PowerShell
SALT
Python
Groovy
Java
Prometheus
Grafana
Nexus
Kubernetes monitoring tools

Job description

RPMGlobal is seeking a senior system engineer to design, deploy, and maintain a full-stack containerized microservices architecture for mission-focused platforms. You will manage production pipelines on Kubernetes with Elasticsearch and Kafka, while advancing CI/CD, Helm configurations, and cross-functional collaboration across engineering, security, and operations teams.

The role requires a TS/SCI clearance, ten years of relevant experience, and strong Linux plus containerized environments.

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