Senior DevOps Engineer (TS/SCI) – Kubernetes & Big Data

RPMGlobal

Bethesda (MD)

On-site

USD 130,000 - 190,000

Full time

4 days ago

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Job summary

Base-2 Solutions in Bethesda, MD is seeking a DevOps Engineer to support the DOMEX Data Discovery Platform Modernization program. The role focuses on designing, deploying, and maintaining a full-stack containerized microservices architecture and contributing to DevOps, systems administration, installation, configuration, and production support activities.

The ideal candidate has an active TS/SCI clearance with CI polygraph eligibility, a DoD 8570 IAT Level II certification or higher, and

Qualifications

Active TS/SCI with ability to obtain a CI Polygraph.
Bachelor's degree with a minimum of ten years of experience in the category field.
Possess at least one DoD 8570.01-M IAT Level II or higher certification, such as CCNA Security, CySA+, Security+ CE, SSCP, CISSP, or CISSP Associate.
Ability to obtain Privileged User Account certification per DoD 8570 policy.
Experience with containers and container orchestration, specifically Kubernetes.
Experience troubleshooting Kubernetes environments, including Ingress/Gateway API, Helm chart design/build, pod disruption budgets, affinity/anti-affinity rules, external-secrets, ArgoCD, cert-manager, and eck/Elasticsearch.
Experience developing GitLab pipelines, including integration of GitLab CI/CD components, Code Quality reports, and Code Coverage/Test reports.
Knowledge of Linux operating systems.
Knowledge of sysctls for Kubernetes environments.
Experience with FApolicyd and SELinux.
Experience with Elasticsearch, Logstash, and Kibana.
Demonstrated ability to participate in cross-functional planning, coordination, and task execution.

Responsibilities

Deploy, triage, and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
Enhance, improve, and maintain CI/CD and DevOps scripts and processes to support faster development, quicker error detection, and resilient deployments.
Design, develop, and support scalable, redundant infrastructure, including physical and virtualized environments.
Use Helm to configure Kubernetes deployments to support new feature requirements.
Collaborate with Systems Engineers to design solutions for new features and requirements.
Provide technical input to systems engineering documentation, diagrams, and models in coordination with Systems Engineering and Architecture team members.
Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings.