Full Stack Data Scientist
Seattle, Washington; Arlington, Virginia
R
USD 137K-186K Senior-level Full Time
Tasks
- Administer relational NoSQL search graph object and vector data platforms
- Apply DevSecOps security practices to delivery
- Build and maintain secure container images with supply chain controls
- Build and support MLOps workflows for model lifecycle
- Configure observability metrics logs traces and alerting
- Contribute to architecture standards documentation and runbooks
- Create and maintain Helm charts and deployment templates
- Deploy and operate Kubernetes based applications
- Design secure scalable AI ML platform capabilities
- Develop and maintain data pipelines and data integration
- Develop infrastructure as code and automation
- Engineer infrastructure for ML and generative AI workloads
- Implement CI CD and GitOps delivery workflows
- Manage secrets and access control using least privilege
- Support incident response and root cause analysis
- Troubleshoot platform data networking deployment and performance issues
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Ansible | Artifact management | Buildah | CI/CD | Certificate management | Container Security | Data Engineering | Data Pipelines | Docker | Experiment tracking | Generative AI | GitOps | Grafana | Graph Databases | Helm | Infrastructure as Code | Kubernetes | Linux | Logging | Loki | MLOps | Machine Learning | Metrics | Model Deployment | Model Monitoring | Model Registry | NoSQL | Observability | OpenTelemetry | Podman | Prometheus | Python | RBAC | Relational databases | Search | Secrets management | Software Supply Chain | Software supply chain security | Supply chain security | TLS | Tempo | Terraform | Tracing | Vector Databases | Vulnerability scanning | Workflow Orchestration | “as-code”
Education
Regions
Countries
States
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