Senior Systems Engineer (Cloud and Platform Engineering)
Location: Chantilly, VA, Tysons Corner, VA, Warrenton, VA
Department: Enterprise IT
Location Type: IN_OFFICE
Employment Type: FULL_TIME
- 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.
- 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
- 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
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