Senior DevOps AI Platform Engineer
Remote, NC, US, 99999
R
USD 102K-151K (estimate) Senior-level Full Time
Tasks
- Automate operational processes and runbooks
- Build platform observability
- Create paved road developer workflows
- Deploy open source model serving on GKE
- Design, build, and manage CI/CD pipelines
- Enable AI assisted software engineering practices
- Engineer deploy and operate Kubernetes platform capabilities
- Establish DevOps operating model
- Implement DevSecOps controls
- Implement Google Cloud Platform foundations
- Maintain engineering documentation
- Manage Terraform infrastructure delivery
- Support secure AI platform integration with data access patterns
- Translate enterprise architecture into automated processes
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Incentive plan
- Life insurance
- Vision insurance
Skills/Tech-stack
Alerts | Audit Logging | Autoscaling | Azure DevOps | Binary Authorization | CI/CD | Cause analysis | Cloud Build | Cloud platform | Container Images | Container Security | Dashboards | Dependency Scanning | Deployment gates | DevOps | DevSecOps | Egress | GKE | Gemini | GitHub | GitHub Actions | GitLab CI | GitOps | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Helm | Incident Response | Infrastructure as Code | Ingress | Jenkins | Kubernetes | Kubernetes Engine | Kustomize | Litellm | Logging | Machine Learning | Metrics | Model Serving | Network policies | Observability | Policy-as-Code | Root Cause Analysis | Root cause | SLI | SLO | SRE | Secrets management | Secure Deployment Gates | Secure deployment | Signed Artifacts | Signed Container Images | State management | Terraform | Tracing | VLLM | Vertex AI | Vulnerability scanning | Workload Identity | “as-code”
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