About The Position

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Cloud DevOps Engineer to join our high-performing team on a dynamic, mission-focused program. In this role, the Cloud DevOps Engineer will architect, build, deploy, and sustain a robust cloud environment featuring Kubernetes clusters that host a wide range of software development, data processing, and mission applications. This position offers hands-on opportunities to work with containerized workloads, CI/CD pipelines, and cloud-native platforms in support of the mission.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related technical discipline, or an equivalent combination of education, certifications, training, and experience
  • 5+ years of hands-on experience working with Kubernetes in cloud or on-prem environments
  • Demonstrated experience with major cloud platforms such as AWS, GCP, or Azure
  • Strong experience with container technologies including Docker, Kubernetes, Rancher, or similar platforms
  • Proficiency with Infrastructure as Code and configuration automation tools such as Terraform and Ansible
  • Proficiency in scripting and automation using Python, Bash, and configuration formats such as JSON and YAML
  • Strong hands-on experience administering Linux-based systems and performing shell scripting
  • Understanding of PKI, TLS, and X.509 authentication mechanisms
  • Experience supporting large-scale software deployments and CI/CD pipelines in production environments
  • US citizenship with an active TS/SCI with Polygraph clearance

Nice To Haves

  • Experience with monitoring and logging tools such as Prometheus, Elasticsearch, Logstash, and Kibana
  • Understanding of GitOps principles and tools such as Flux and ArgoCD
  • Experience managing and troubleshooting GPU-based workloads, including CUDA
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or ONNX
  • Hands-on experience with software development and programming in Python
  • Familiarity with authentication and authorization frameworks such as OAuth and Keycloak
  • Knowledge of container security tools such as Clair, Anchore, Rapid7, and/or NeuVector
  • Experience with container registry technologies such as Harbor, Amazon ECR, Docker Hub, or similar platforms

Responsibilities

  • Architect, build, deploy, and maintain Kubernetes-based platforms supporting containerized software applications, data processing pipelines, and AI/ML workloads.
  • Design, develop, and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible.
  • Build, enhance, and sustain CI/CD pipelines using tools such as Helm, Kubernetes, Harbor, Nexus, and related technologies.
  • Deploy, orchestrate, monitor, and troubleshoot workloads across development, test, and production environments.
  • Collaborate cross-functionally with systems engineers, software engineers, data scientists, analysts, project managers, and other engineering teams.
  • Assist developers and system administrators in understanding Kubernetes architectures and platform capabilities to support future mission enhancements.
  • Troubleshoot complex infrastructure, platform, and application issues and provide operational support to mission users.
  • Implement monitoring, logging, and alerting solutions to ensure system reliability and performance.
  • Write and maintain technical documentation including system documentation, processes, procedures, and training materials.
  • Provide recommendations for continuous improvement to enhance scalability, security, automation, and operational efficiency.
  • Work alongside other engineers to sustain and advance the organization’s cloud and platform capabilities.
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