Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)
Tasks
- Apply DevSecOps security scanning and vulnerability management
- Automate infrastructure using Infrastructure as Code
- Build MCP services for authorized AI agents
- Build observability solutions
- Create reusable automation frameworks documentation dashboards
- Deploy and manage Kubernetes and Docker on cloud
- Design CI CD pipelines for AI enabled delivery
- Design incident remediation workflows
- Develop MCP clients and servers
- Implement ChatOps for deployment and operations
- Implement security guardrails and audit logging
- Integrate LLM workflows for code review testing security release validation
- Maintain enterprise CI CD pipelines
- Provide AI tool access controls and least privilege
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Secrets | AWS Secrets Manager | ArgoCD | Azure | Azure Key Vault | Bash | CI/CD | ChatOps | CircleCI | CloudFormation | CloudWatch | DAST | Datadog | Docker | Dynatrace | ELK | GitHub Actions | GitLab CI | GitOps | Google Cloud | Grafana | HashiCorp Vault | Infrastructure as Code | JavaScript | Jenkins | Key Vault | Kubernetes | Kubernetes security | LLM | Least Privilege | Model Context Protocol | Node.js | OpenTofu | Prometheus | Pulumi | Python | RBAC | SAST | Secrets Manager | Secrets management | Splunk | Terraform | Terragrunt | TypeScript | Vulnerability Management | “as-code”
Education
Roles
AI | AI DevOps Engineer | DevOps Engineer | Engineer | Senior AI DevOps Engineer
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