Lead DevOps Engineer (Data & AI Platform)
Tasks
- Build Infrastructure as Code frameworks
- Create AI assisted documentation and how to guides
- Define modern DevOps strategy
- Design and optimize CI/CD pipelines
- Enable self healing pipelines and failure diagnostics
- Ensure observability scalability and reliability
- Implement automated quality gates
- Implement platform engineering automation
- Implement policy as code and compliance checks
- Improve developer experience with automation tooling
- Integrate AI copilots into delivery workflows
- Introduce AIOps monitoring alerting and incident management
- Manage AI model lifecycle (training, deployment, monitoring)
- Manage access control across environments
- Provide operational support and incident troubleshooting
- Support data and AI platform integrations
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | API | ARM | Airflow | Azure | Azure Data | Azure Data Factory | Azure DevOps | Bash | Bicep | CI/CD | Data Factory | Databricks | Git | GitHub Actions | Infrastructure as Code | LLMOps | MLOps | Observability | Policy-as-Code | Power BI | Powershell | Python | SQL | “as-code”
Education
N/A
Roles
DevOps Engineer | Engineer | Lead | Lead DevOps | Lead DevOps Engineer
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