DevOps Engineer III - Kubernetes, CI/CD & Big Data

RPMGlobal; Bethesda (MD); Hybrid; USD 120,000 - 180,000; Full time

Job summary

RPMGlobal is seeking a seasoned platform engineer to support the NMEC DOMEX Technology Platform and D3P Modernization by designing, deploying, and maintaining a full-stack containerized microservices architecture in a mission-focused engineering environment.

You will deploy and maintain production big data pipelines on Kubernetes with Elasticsearch and Kafka, enhance CI/CD, and build scalable, resilient infrastructure across Linux, on-premise and cloud integrations.

Qualifications

• Active TS/SCI clearance with ability to obtain CI Polygraph.
• Bachelor's degree with 6+ years of related experience (3 years substituted for degree).
• Strong Linux proficiency.
• Hands-on experience with containers and Kubernetes.

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, redundant infrastructure including physical and virtualized 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, scrum of scrums, bug triage, design sessions, and related meetings.

Skills

Linux

Kubernetes

CI/CD

GitLab CI/CD

Kafka

Elasticsearch/Logstash/Kibana

Education

Bachelor's degree or higher

High School Diploma/GED with 9 years experience

Associates Degree with 9 years experience

Master's Degree with 6 years experience

PhD with 6 years experience

Tools

Kubernetes

GitLab

Elasticsearch/Logstash/Kibana

Prometheus

Grafana

Nexus

Helm

Kafka

Job description

RPMGlobal is seeking a seasoned platform engineer to support the NMEC DOMEX Technology Platform and D3P Modernization by designing, deploying, and maintaining a full-stack containerized microservices architecture in a mission-focused engineering environment.

You will deploy and maintain production big data pipelines on Kubernetes with Elasticsearch and Kafka, enhance CI/CD, and build scalable, resilient infrastructure across Linux, on-premise and cloud integrations.