DevOps Engineer - TS/SCI

Sunayu•Bethesda, MD

4h•Onsite

About The Position

As a DevOps Software Engineer, you’ll help design, deploy, and maintain a full‑stack, containerized microservices architecture. You’ll also support systems administration, installation, configuration, and the broader adoption of DevOps best practices across cross‑functional engineering teams. In this fast‑paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integration teams. You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators to: Deploy, triage and maintain a production big data pipeline built on Kubernetes, Elasticsearch, and Kafka Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability Design and support scalable, redundant infrastructure across physical and virtual environments Use Helm to configure Kubernetes deployments for new features and evolving requirements Partner with Systems Engineers to architect solutions for new capabilities Contribute technical input to engineering documentation, diagrams, and models Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities

Requirements

Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ years with a Master’s
Active TS/SCI clearance and ability to obtain/maintain a TS/SCI with Polygraph
Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate)
Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy
Strong Linux proficiency, specifically knowledgeable about sysctls for K8s environments and experience with FApolicyd and SELinux
Hands‑on experience with containers and Kubernetes (e.g., Ingress/Gateway API, Helm chart design/build, pod disruption budgets, affinity/anti-affinity rules, familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search))
Experience with GitLab pipeline development (e.g., integration of GitLab CI/CD components, code quality reports, coverage/test reports)
Familiarity with Elasticsearch, Logstash, and Kibana
Demonstrated success working in cross‑functional engineering environments

Nice To Haves

Experience with systems at scale
Experience/knowledge of key Agile processes and techniques
Experience with development, e.g., Bash, PowerShell, SALT, Python, Groovy, Java
Experience supporting an enterprise or production system
Experience with any of the following technologies: Kafka or other message passing systems (AMQP, JMS)
Kubernetes monitoring, e.g., Prometheus/ Graphana
GPU-based Kubernetes
SALT for deployment automation
Nexus

Responsibilities

Deploy, triage and maintain a production big data pipeline built on Kubernetes, Elasticsearch, and Kafka
Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability
Design and support scalable, redundant infrastructure across physical and virtual environments
Use Helm to configure Kubernetes deployments for new features and evolving requirements
Partner with Systems Engineers to architect solutions for new capabilities
Contribute technical input to engineering documentation, diagrams, and models
Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities