Lead DevOps Engineer (Data & AI Platform)
Tasks
- Automate data product workflows
- Automate software delivery lifecycle
- Build platform engineering roadmap
- Build self-healing pipelines
- Coach teams on DevOps and AI practices
- Create developer documentation
- Define DevOps strategy
- Design CI/CD pipelines
- Enhance Infrastructure as Code
- Ensure observability and reliability
- Implement AIOps monitoring and alerting
- Implement automated quality gates
- Implement policy as code compliance
- Improve developer experience with automation
- Integrate AI copilots into workflows
- Manage access control
- Optimize release pipelines
- Perform incident troubleshooting and root cause analysis
- Standardize reusable pipeline templates
- Support MLOps and LLMOps
- Support production deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | 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 | Release Management | SQL | “as-code”
Education
N/A
Roles
DevOps | DevOps Engineer | Engineer | Lead | Lead DevOps | Lead DevOps Engineer
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