Experience Required:
5+ years of solid experience as Azure Admin or DevOps Engineer or Platform Engineer, building CI/CD pipelines and deploying AI / ETL workloads involving various Azure services including VM, Databricks, ADF, ADLS etc. as well as microservices developed in MERN stack.
Core Technical Skills Required:
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Azure Pipelines: Deep expertise in building and managing both Classic and YAML-based pipelines, including multi-stage deployments, release strategies, and integration.
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GitHub Actions and Azure DevOps Services for orchestrating automated builds, tests, and deployments across microservices.
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Infrastructure as Code (IaC)
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Proficiency in Terraform, Azure Resource Manager (ARM) templates, and Bicep for declarative infrastructure provisioning.
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Enables consistent, scalable, and auditable environments for AKS clusters and supporting services.
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Containerization & Orchestration
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Strong command of Docker for image creation and management.
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Expertise in Kubernetes Container Distribution through pipeline, especially Azure Kubernetes Service (AKS) and scaling strategies.
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Familiarity with secure image storage and deployment using Azure Container Registry (ACR) and Azure Container Apps (ACA).
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Deep expertise of deploying AI and ETL workloads including VM, Databricks, ADF, ADLS etc. involving Python and PySpark modules.
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Deep expertise of deploying web applications / microservices developed in MERN stack.
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Security & Compliance
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Embedding DevSecOps practices into pipelines.
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Managing secrets with Azure Key Vault, enforcing RBAC, and integrating security scans into CI/CD flows.
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Version Control & Collaboration
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Mastery of Git workflows (branching, merging, pull requests).
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Use of Azure Repos and GitHub for collaborative development and code hygiene.
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Agile & DevOps Mindset
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Familiarity with Azure Boards for sprint planning, backlog grooming, and work item tracking.
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Embracing agile methodologies (Scrum, Kanban) and fostering cross-functional collaboration.
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Monitoring, Logging & Governance
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Use of Azure Monitor, Application Insights, and Log Analytics for pipeline observability and performance tuning.
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Strategic Capabilities for Governance and Scalability
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Modular Agent Design: Independent agents for pipeline stages (e.g., build, test, deploy, monitor) to enhance robustness and scalability.
