Job Description

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

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


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Bengaluru ,Karnataka
Company Website: https://inxiteout.ai/ Job Function: Information Technology (IT)
Company Industry/
Sector:
Software Development

What We Offer


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