DevOps Engineer

8 - 13 years

10 - 15 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Automation & Integration
  • Develop automation scripts and workflows to integrate Jira/JSM with CI/CD tools (e.g., GitHub Actions, Azure DevOps, Jenkins).
  • Enable automated Jira issue resolution through Python scripting.
  • Implement webhook-based or API-driven integrations for seamless DevOps lifecycle management.
  • CI/CD Pipeline Management
  • Maintain and integrate MS Azure and AWS services within hybrid cloud environments.
  • Administer and configure SonarQube for code quality analysis and integration with CI/CD pipelines.
  • Design, implement, and maintain CI/CD pipelines for microservices and containerized applications.
  • Ensure pipelines are secure, efficient, and support rollback and blue-green deployments.
  • Monitoring & Observability
  • Set up monitoring and alerting for AKS workloads using tools like Prometheus, Grafana, or Azure Monitor.
  • Integrate SonarQube results into dashboards and reporting systems.
  • Collaboration & Support
  • Work closely with development, QA, and product teams to align DevOps practices with business goals.
  • Provide documentation and training for internal teams on automation workflows and DevOps tools.
Qualifications & Skills:
  • Bachelor s Degree in Computer Science, Information Technology, or related discipline.
  • 8+ years of professional experience in DevOps, Cloud Engineering, or Infrastructure Automation.
  • Strong experience with Python, Jenkins, AKS (Azure Kubernetes Service) , and container orchestration.
  • Proficiency in AWS services and hybrid cloud architecture.
  • Hands-on experience with SonarQube setup and integration.
  • Solid understanding of Jira/JSM APIs, webhooks, and automation .
  • Experience with scripting languages (Python, Bash, PowerShell) .
  • Familiarity with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins .
  • Hands-on expertise in CI/CD pipeline design and automation for microservices or enterprise systems.
Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Self-driven and proactive in identifying automation opportunities.
  • Excellent interpersonal and communication skills to liaise with global engineering and operations teams.
  • Ability to manage multiple priorities and deliver in a fast-paced, agile environment.

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