DevOps Engineer II - Kubernetes & CI/CD for Big Data

RPMGlobal; Bethesda (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

RPMGlobal is seeking an experienced DevOps engineer to support a mission-focused architecture in Bethesda, MD. The role centers on designing, deploying, and maintaining a full-stack containerized microservices platform, running on Kubernetes with Elasticsearch and Kafka, and enhancing CI/CD pipelines.

Responsibilities include deploying and triaging a production data pipeline, crafting scalable infrastructure, and collaborating across engineering, security, and operations teams within an Agile

Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Bachelor's degree with a minimum of three years of experience in the category field. Two additional years of experience may be substituted for the bachelor's degree.
• 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 running on Kubernetes with Elasticsearch backend and Kafka messaging.
• 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 in support of new feature requirements.
• 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

Job description

RPMGlobal is seeking an experienced DevOps engineer to support a mission-focused architecture in Bethesda, MD. The role centers on designing, deploying, and maintaining a full-stack containerized microservices platform, running on Kubernetes with Elasticsearch and Kafka, and enhancing CI/CD pipelines.

Responsibilities include deploying and triaging a production data pipeline, crafting scalable infrastructure, and collaborating across engineering, security, and operations teams within an Agile