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DevOps Engineer

Incedo Inc.

2 - 5 years

Gurugram

Posted: 12/02/2026

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Job Description

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines using Azure DevOps
  • Manage build and deployment pipelines across multiple environments
  • Support applications built using .NET, Java, JavaScript, React, etc.
  • Automate operational and deployment tasks using PowerShell, Shell scripting, and Python
  • Perform environment setup and configuration for dev, test, stage, and prod
  • Configure and manage Grafana dashboards for application and infrastructure monitoring
  • Implement centralized logging using Loki and integrate with applications and containers
  • Troubleshoot production issues using log-level analysis (INFO, WARN, ERROR, DEBUG)
  • Manage and support IIS and Tomcat application servers
  • Build and deploy applications using Docker and Kubernetes
  • Implement GitOps workflows using ArgoCD
  • Work with Azure Cloud services for compute, networking, storage, and security
  • Configure and support Azure Data Factory (ADF) pipelines and Databricks
  • Participate in production support and on-call rotation (night support for 2 weeks every alternate month)

Mandatory Skills

  • 35 years of DevOps / Build & Release experience
  • Strong hands-on experience with Azure DevOps Services
  • CI/CD pipelines
  • Git repositories
  • Branching and merging strategies
  • Experience with build and deployment automation
  • Scripting skills: PowerShell, Shell, Python
  • Strong experience with Docker and Kubernetes
  • Hands-on experience with Azure Cloud (IaaS & PaaS)
  • Experience in application and infrastructure monitoring
  • Grafana dashboard creation, alerting, metrics visualization
  • Loki centralized logging, log ingestion, querying, and troubleshooting
  • Understanding of log levels (INFO, WARN, ERROR, DEBUG) and root cause analysis


Good to Have (Preferred Skills)

  • Knowledge of application development stacks:
  • .NET / .NET Core
  • Experience with GitOps and ArgoCD
  • Experience with Azure Data Factory (ADF) pipelines
  • Exposure to Databricks
  • Familiarity with Prometheus or other metrics tools
  • Understanding of security best practices in CI/CD and cloud environments

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