Cloud Infrastructure/DevSecOps Engineer & Subject Matter Expert
About The Position
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Requirements
- Master's degree + minimum 3 years of relevant experience; or Bachelor's degree in computer science, a related field or equivalent relevant experience + minimum 5 years of relevant experience.
- Active DoD Secret clearance or higher.
- Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
- Due to the nature of work performed within our facilities, U.S. citizenship is required.
- Demonstrated experience building and operating containerized applications in CI/CD and DevOps environments.
- Strong working knowledge and demonstrated participation in an agile development environment for at least 2 years.
- Working knowledge of AWS cloud environments and cloud-native design principles, including microservices, service mesh, publish/subscribe patterns, the strangler pattern, and distributed or federated control models.
- Working knowledge of basic networking: routing, switching, network overlays.
- Basic knowledge of ML/AI, data analytics, data science, and data mining.
- Basic knowledge of cyber security best practice in application development and system design.
- Ability to apply AI to automation and process improvement.
- Awareness of commercial technology trends and willingness to propose relevant tools, ideas and process improvements.
- Ability to work in a fast-paced Agile environment and adapt priorities as objectives change.
- Basic knowledge of ML/AI, data analytics, data science, and data mining.
Nice To Haves
- Preferred ML pipeline tools: TensorFlow, Jupyter, Kubeflow.
- Preferred web development technologies: React, Angular, Vue, Ember, WebAssembly, Node.js.
Responsibilities
- Deploy and administer AWS EKS clusters in GovCloud/ECMA environments, including cluster lifecycle and node group management.
- Develop, version, and deploy Helm charts for multi-service application stacks.
- Provision and manage infrastructure using Terraform/OpenTofu, including EKS, VPC, RDS, S3, and EBS/EFS.
- Troubleshoot Kubernetes workloads, including pod failures, crashed-container logs, ingress and service issues, and resource tuning.
- Deploy and operate observability tooling, including Grafana, Loki, and Prometheus; create dashboards, alerts, and log-retention policies.
- Build and maintain GitLab CI/CD pipelines, including container builds, security scanning, and merge-request workflows.
- Configure networking and ingress components, including ALB/NLB, path-based routing, TLS/cert-manager, and WebSocket/gRPC load balancing.
- Administer Windows Server environments, including domain-joined EC2 instances, Group Policy, RDP access, and Active Directory.
- Administer Keycloak, including user and license management and authentication flows.
Benefits
- Highly competitive benefits
- Flexible work environment where contributions are recognized and rewarded
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
