Senior DevOps & MLOps Automation Engineer
Tasks
- Automate CI/CD pipelines
- Automate platform reliability
- Build infrastructure as code
- Containerize applications
- Deploy machine learning models
- Enable observability
- Ensure high availability
- Govern machine learning models
- Implement Blue-Green deployments
- Implement Canary deployments
- Implement end-to-end MLOps
- Implement feature flags
- Industrialize delivery processes
- Manage Azure Kubernetes Service environments
- Manage identities with Managed Identities
- Manage secrets with Key Vault
- Monitor machine learning models
- Scale workloads
Perks/Benefits
- Certifications
- E-learning
- Extra paid vacation days
- Gym options
- Hybrid working model
- Learning and development programs
- Meal tickets
- Private medical insurance
- Recognition rewards
- Referral bonus
Skills/Tech-stack
AKS | Automation | Azure DevOps | Azure Key Vault | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Containerization | Feature Flags | GitHub Actions | Governance | High Availability | Infrastructure as Code | Key Vault | Kubernetes Service | MLOps | Machine Learning | Managed Identities | Model Deployment | Monitoring | Observability | Scaling | Terraform | “as-code”
Education
N/A
Roles
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