DevOps Engineer - Kubernetes (TS/SCI with Polygraph REQUIRED)

About the Role

Key Responsibilities

• Work with a team to build, automate, and deploy Kubernetes workloads like containerized AI/ML solutions, data processing tools, and software applications to support mission critical applications.
• Stand up and/or work with the necessary tooling for a robust CI/CD pipeline, to include: Helm, Kubernetes, Harbor, Nexus, and Ansible.
• Collaborate cross-functionally with systems engineers, software engineers, data scientists, analysts, project managers, and other engineering groups.
• Assist developers, DevOps 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.
• Work alongside other engineers on the team to sustain and advance our organization’s capabilities.

Requirements

• Demonstrated experience with container tools, including Docker, Kubernetes, or Rancher.
• Proficiency in scripting languages including Python, Bash, and configuration formats like JSON and YAML.
• Demonstrated experience with deploying Kubernetes within an on-prem platform or cloud offerings.
• Proficiency in cloud platforms like AWS, GCP, or Azure.
• Proficiency in utilizing Helm or other Kubernetes deployment methods.
• Sound knowledge of Linux OS and demonstrated hands-on experience with Linux-based systems and shell scripting.
• Understanding of PKI, TLS, and X.509 Authentication.
• Demonstrated experience with infrastructure-as-code environments, large-scale software deployments, and/or monitoring and testing, such as CI/CD.
• At least five (5) years of related Kubernetes experience.
• Skills in Continuous Delivery, DevOps, Docker, Kubernetes, and Python.

Nice to Have

• Knowledge of monitoring and logging tools like Prometheus, ElasticSearch, Logstash, and Kibana.
• Understanding of GitOps principles and tools like Flux and ArgoCD.
• Experience in managing and troubleshooting GPU-based workloads including CUDA.
• Familiarity with popular Machine Learning Frameworks like TensorFlow, PyTorch, and ONNX.
• Familiarity with authentication protocols such as OAuth and Keycloak.
• Knowledge of container security technologies, such as Claire, Anchore, Rapid7, and/or NeuVector.
• Knowledge of container registry technologies, such as Harbor, ECR, DockerHub, etc.
• Experience in programming and software development using Python.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related technical discipline, or equivalent combination of education, technical certifications, training, and work/military experience.

Benefits & Perks

• 401K with company match.
• Comprehensive health and wellness packages.
• Internal mobility team dedicated to helping you own your career.
• Professional growth opportunities including paid education and certifications.
• Access to cutting-edge technology.
• Paid vacation and holidays.