Devops Lead

TENARAI TECHNOLOGIES PRIVATE LIMITED

Gurugram District

On-site

INR 1,800,000 - 3,200,000

Full time

3 days ago
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Job summary

TENARAI TECHNOLOGIES PRIVATE LIMITED in Gurugram invites an experienced DevOps professional to join our team. You will design, deploy, and manage CI/CD pipelines, containerized applications with Docker and Kubernetes, and implement automation across cloud platforms.

You will work with Unix/Linux systems, monitor production environments, and collaborate with multiple teams to optimize performance, troubleshoot issues, and build tooling in Python or Java to accelerate delivery.

Qualifications

  • 10+ year experience deploying and managing CI/CD pipelines.
  • Experience with Docker or similar container solution.
  • Experience with container orchestration systems such as Kubernetes.
  • 3+ years Public Cloud experience (AWS/Azure).
  • 1+ years of experience in Python.
  • Strong understanding of DevOps tools and technologies (Grafana, Kibana, Jenkins, IT).
  • Experience with Docker or similar container solution.
  • Experience with container orchestration systems such as Kubernetes.
  • Experience with GitHub or other version control systems.
  • Experience in project management tools like Jira/Confluence.
  • Automation by creating tools using Python, Java or other JVM languages.
  • Troubleshooting complex production issues.
  • Unix/Linux operating system expertise.
  • Excellent problem solving, critical thinking, and communication skills.
  • Experience deploying and managing CI/CD pipelines.
  • Configuration management (Ansible, Salt) for deploying and managing servers.
  • Understand complex architectures and collaborate with multiple teams.
  • Performance analysis (JMeter/LoadRunner).
  • Adapt to fast-paced environment and emerging technologies.
  • Unix command-line proficiency and system debugging.
  • Monitor Hadoop/YARN clusters across environments.

Responsibilities

  • Design, deploy and manage CI/CD pipelines across environments.
  • Build automation tools using Python or Java for faster delivery.
  • Troubleshoot and resolve complex production issues.
  • Monitor production, staging, and development environments.
  • Collaborate with multiple teams on complex architectures.

Skills

CI/CD pipelines experience
Automation passion
Unix/Linux expertise
Problem solving
Communication skills
Adaptability in fast-paced environment
Performance analysis
Collaboration across teams

Tools

Docker
Kubernetes
GitHub
Jira/Confluence
Jenkins
Grafana
Kibana
Ansible
Salt

Job description

  • 10+ Year Experience deploying and managing CI/CD pipelines
  • Experience with Docker or similar container solution
  • Experience with container orchestration systems such as Kubernetes
  • 3+ years Public Cloud experience (AWS/Azure)
  • SQL/NSQL Database Experience
  • 1+ years of experience in python
  • Good understanding of Devops tools and technologies (Grafana, Kibana, Jenkins, IT)
  • 1+ years Experience in SAP Hybris Commerce
  • Experience with Docker or similar container solution
  • Experience with container orchestration systems such as Kubernetes
  • Experience with github or other version control systems
  • Experience in project management tools like Jira/confluence
  • Have a passion for automation by creating tools using Python, Java or other JVM languages
  • Strong expertise in troubleshooting complex production issues
  • Expert understanding of unix/linux based operating system
  • Excellent problem solving, critical thinking, and communication skills
  • Experience deploying and managing CI/CD pipelines
  • Expertise in configuration management (such as Ansible, salt) for deploying, configuring, and managing
  • servers and systems
  • Should be able to understand complex architectures and be comfortable working with multiple teams
  • Ability to conduct performance analysis (Jmeter/loadrunner)
  • Comfortable working in a fast-paced environment while continuously evaluating emerging technologies
  • Proficient in Unix command-line tools and general system debugging
  • Monitor production, staging, test and development environments for many Hadoop/YARN clusters
  • spanning thousands of nodes, in an agile and dynamic organization
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