DevOps Engineer - TS/SCI

Sunayu•Bethesda, MD

2d•$107,900 - $195,050•Onsite

About The Position

As a DevOps Engineer, you will contribute to the design, deployment, and maintenance of a full stack containerized micro services architecture, as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross-functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast-paced environment. You will work closely with a multi-disciplinary team of developers, other software integrators, and system administrators on key tasks.

Requirements

BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master’s degree.
Must have an active Top Secret/SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance.
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.
Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with: Ingress/Gateway API, Multi-tenant GPU sharing, Helm chart design/build, Pod disruption budgets, Affinity/anti-affinity rules.
Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search).
GitLab pipeline development experience including: Integration of GitLab CI/CD components, Integration of GitLab Code Quality reports, Integration of GitLab Code Coverage/Test reports.
Knowledgeable in navigating Linux OS, specifically: Knowledgeable about sysctls for K8s environments, FApolicyd and SELinux experience.
Comfortable with Elastic Search, Logstash, Kibana.
Demonstrated ability to participate in cross-functional planning, coordination, and task execution.

Nice To Haves

Experience with systems at scale
Experience/knowledge of key Agile processes and techniques
Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
Experience on a production/ enterprise system
Experience with any of the following technologies: Kafka or other message passing systems (AMQP, JMS), Kubernetes monitoring, e.g., Prometheus/ Grafana, Open Telemetry, SALT for deployment automation, Nexus

Responsibilities

Deploy, triage, and maintain a production big data pipeline using a micro service architecture running on Kubernetes, Elasticsearch back-end, and Kafka messaging.
Enhance and maintain CI/CD and DevOps scripts and processes, including AI-integrated solutions for failure analysis, security, and compliance, to facilitate faster development, quicker error detection, and resilient deployments.
Design, develop, and support scalable, redundant infrastructure, including physical and virtualized environments.
Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD.
Collaborate with System Engineers to design solutions for new features and requirements.
Provide technical input to systems engineering documentation and diagrams/models, working in coordination/collaboration with SE team members and Architect team.
Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings.
Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in Kubernetes environments.