1935 Azure DevOps Engineer (AI / Agentic) ML Ops Engineer
USD 119K-258K (estimate) Senior-level Full Time
Tasks
- Architect scalable azure infrastructure
- Build monitoring and observability solutions
- Conduct architectural reviews
- Create automation tooling with scripts
- Define CI/CD pipelines
- Design ai llm automation workflows
- Develop infrastructure as code
- Implement self healing cloud systems
- Improve system reliability
- Optimize cloud cost and performance
- Oversee kubernetes aks operations
Perks/Benefits
Skills/Tech-stack
AI Automation | AIOps | AKS | ARM Templates | Agile | Azure | Azure Kubernetes | Azure Kubernetes Service | Azure Monitor | Bash | Bicep | CI/CD | Cloud Networking | Continuous Deployment | Continuous integration | Datadog | Dynatrace | GitHub Actions | Infrastructure as Code | Jenkins | Kubernetes | Kubernetes Service | LLMs | Language Models | Large Language Models | Monitoring | Observability | Powershell | Python | Reliability Engineering | SRE | Site Reliability | Site Reliability Engineering | Terraform | “as-code”
Education
N/A
Regions
States
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