About The Chance A rapid-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

Perks &
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.

Skills: infrastructure,powershell,devops,azure,pipelines,python

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