Sr Specialist System Engineering - DevOps Engineer — AI & Pipeline Automation
Tasks
- Apply secure DevOps secrets access control policy enforcement
- Automate pipeline promotion workflows
- Build AI assisted root cause analysis tools
- Build and maintain MCP servers
- Create self healing pipeline workflows
- Deploy and troubleshoot Kubernetes workloads
- Design build maintain Azure DevOps CI CD pipelines
- Document architecture operating procedures and standards
- Evaluate GenAI and MCP capabilities for pipeline improvements
- Implement CI CD YAML templates and components
- Implement environment gates and approvals
- Integrate LLMs for pipeline failure analysis
- Integrate pipelines with source control and artifact repositories
- Lead technical workshops demos training
- Set up CI CD observability metrics logs dashboards alerts
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | ARM Templates | Ansible | Azure CLI | Azure Container | Azure Container Registry | Azure DevOps | Azure Key Vault | Azure Monitor | Azure OpenAI | Azure Resource | Azure Resource Manager | Bash | Bicep | CI/CD | Container Registry | CrashLoopBackOff | Datadog | Function Calling | Grafana | HashiCorp Vault | Helm | Infrastructure as Code | JSON | Key Vault | Kubectl | Kubernetes | Kubernetes RBAC | Kubernetes Service | Kubernetes Service Accounts | LLM APIs | Linux | Log Analytics | MCP | Powershell | Prometheus | Prompt engineering | Python | RAG | REST APIs | Resource manager | Retrieval-Augmented Generation | Service Principal | Service accounts | YAML | “as-code”
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