Cloud DevOps Engineer; TS​/SCI Polygraph Chantilly, Loudoun County, VA

Cloud Dev Ops Engineer (TS/SCI with Polygraph REQUIRED)

Location:

USA, VA Chantilly | Full time | US Citizenship

Required:

Yes

Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph | Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph

• Architect, build, manage, maintain, and monitor a robust cloud environment featuring Kubernetes clusters for hosting various software development and data processing workloads.
• Deliver containerized applications and services, enhance CI/CD pipelines, orchestrate and monitor workloads, and troubleshoot across Dev, Test, and Prod environments.
• Stand up and/or work with the necessary tooling for a robust CI/CD pipeline, including Helm, Kubernetes, Harbor, Nexus, Terraform and Ansible.
• Collaborate cross-functionally with systems engineers, software engineers, data scientists, analysts, project managers and other engineering groups.
• Assist developers, Dev Ops engineers, and system administrators with understanding of Kubernetes architectures to take advantage of the platform environment for future capabilities.
• Troubleshoot complex problems and provide customer support for software systems and application issues.
• Write and update technical documentation such as system documentation, training materials, processes and procedures.
• Provide recommendations for continuous improvement and work alongside other engineers to sustain and advance organizational capabilities.

• Demonstrated experience with cloud platforms like AWS, GCP, or Azure and their associated services.
• Demonstrated experience with container tools, including Docker, Kubernetes, or Rancher.
• Design, develop, and maintain infrastructure using IaC tools such as Terraform and Ansible.
• Proficiency in scripting languages including Python, Bash, and configuration formats like JSON and YAML.
• Demonstrated experience deploying Kubernetes within an on-prem or cloud-based environment.
• Proficiency in utilizing Helm or other automated Kubernetes deployment methods.
• Sound knowledge of Linux OS and hands‑on experience with Linux‑based systems and shell scripting.
• Understanding of PKI, TLS, and X.509 Authentication.
• Experience with infrastructure‑as‑code environments, large‑scale software deployments, and continuous integration and delivery (CI/CD).
• At least five (5) years of related Kubernetes experience.
• Bachelor’s degree in Computer Science, Information Technology, or related technical discipline, or equivalent combination of education, technical certifications, training, and experience.

• Knowledge of monitoring and logging tools such as Prometheus, Elastic Search, Logstash, and Kibana.
• Understanding of Git Ops principles and tools like Flux and ArgoCD.
• Experience managing and troubleshooting GPU‑based workloads including CUDA.
• Familiarity with popular Machine Learning Frameworks such as Tensor Flow, PyTorch, and ONNX.
• Hands‑on experience in programming and software development using Python.
• Familiarity with authentication protocols such as OAuth and Keycloak.
• Knowledge of container security technologies such as Clair, Anchore, Rapid7, and/or Neu Vector.
• Knowledge of container registry technologies such as Harbor, ECR, Docker Hub, etc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans