About the role
About the Opportunity
A fast-scaling technology consultancy in the Enterprise AI & Cloud Automation sector, we architect intelligent DevOps pipelines that fuse Azure-native tooling with generative AI capabilities to accelerate software delivery, improve system reliability, and enable autonomous operations for global enterprises. Our teams build smart CI/CD workflows, AI-augmented monitoring, and self-healing infrastructure—turning DevOps into a strategic growth engine.
Role & Responsibilities
- Design and deploy Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.
- Implement AI-driven observability solutions using Azure Monitor, Application Insights, and custom LLM-based alerting logic.
- Orchestrate infrastructure-as-code (IaC) deployments via Azure CLI, ARM templates, and Bicep—ensuring reproducibility and drift detection.
- Collaborate with data engineers to embed MLOps into Azure Pipelines, enabling model retraining and versioning via MLflow/Azure ML.
- Build AI-enhanced release management workflows using Azure DevOps REST APIs and custom Python/PowerShell scripts.
- Champion DevOps best practices: Infrastructure-as-Code, GitOps, blue-green deployments, and shift-left security within AI-augmented pipelines.
Skills & Qualifications
- Must-Have
- Azure DevOps
- CI/CD Pipelines
- Azure Monitor
- ARM Templates
- Python
- PowerShell
- GitOps
- MLflow
- Preferred
- Azure ML
- LangChain
- GitHub Actions
Benefits & Culture Highlights
- Work on cutting-edge AI-DevOps fusion projects with global clients.
- Access to Azure AI certification sponsorships and GenAI upskilling programs.
- On-site tech hub environment with daily innovation sprints and hackathons.