Azure Cloud/DevOps Specialist Consultant Bangalore
INR 2000K-3500K (estimate) Senior-level Full Time
Tasks
- Architect and manage complex Kubernetes environments
- Architect scalable secure highly available cloud infrastructure
- Build AI agent frameworks
- Design enterprise grade MLOps pipelines
- Drive infrastructure as code adoption
- Establish cloud governance frameworks standards and best practices
- Implement LLM and generative AI platforms
- Implement automation at scale
- Lead CI CD ecosystem design and optimization
- Lead end to end cloud transformation initiatives
- Oversee model monitoring drift detection and ML observability
- Oversee workload security cluster governance and autoscaling policies
- Provide technical leadership for hybrid multi cloud architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Ansible | Application Gateway | Artifact management | Autogen | Automl | Azure | Azure DevOps | Azure Repos | Bash | BentoML | CI/CD | DNS | Data Ingestion | DevOps | Docker | Drift Detection | Encryption | Evaluation Pipelines | Feast | Feature Store | Featurization | Firewalls | GCP | Generative AI | Git | GitHub Actions | GitLab | Groovy | Helm | Infrastructure as Code | Jenkins | Kubeflow | Kubernetes | LLM | LLMOps | Langchain | Load balancers | ML model monitoring | ML observability | MLOps | MLflow | Model Drift | Model Drift Detection | Model Governance | Model Monitoring | Model Registry | Model Training | Networking | PostgreSQL | Powershell | Prompt engineering | Python | RAG | Redis | Semantic Kernel | TCP/IP | Terraform | VNet | VPN | Vector Databases | “as-code”
Education
Roles
Architect | Cloud Architect | Cloud) | DevOps | DevOps Engineer | Engineer | MLOps Engineer | Software Engineer
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