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DevOps Engineer

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Onsite

DevOps Engineer

Arcana

DevOps Engineer

Skills

Data EngineeringDockerPythonData ScienceGitGitLabAnsibleKubernetesTerraformAzure

16 days ago

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Important information


Contract type:

Permanent

Location:

Coimbatore, Tamil Nadu, India

Work mode:

Onsite

Published on:

5 October 2026

What they need


At Arcana, we understand technology networks and what drives businesses forward. From cloud-native platforms and data-driven solutions to DevOps automation, enterprise-scale services, infrastructure, and digital transformation, we deliver a broad portfolio of innovative solutions. Every day, our teams lead the way to smarter, more scalable, and secure technology, empowering enterprises by reducing inefficiencies and enabling growth.

Key Responsibilities

  • Ensure smooth code integration with CI/CD pipelines
  • Optimize release management and automate deployment environments
  • Create and manage a cloud strategy (GPS, Azure and on-premise)
  • Standardize the software development release management process
  • Troubleshoot and provide technical support and guidance
  • Write and maintain technical documentation
  • Guide users on best practices for container-based applications

Requirements

We value passion and attitude over experience. While you don’t need to tick every box, the following will help you succeed in this role:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related engineering field
  • Strong background in DevOps with hands-on configuration and deployment
  • Knowledge of Ansible, Terraform, Python, and scripting (PowerShell/Python/Bash)
  • Familiarity with containerization technologies such as Docker and Kubernetes (CKA certification is a plus)
  • Experience with Azure cloud-based provisioning, deployment, and monitoring
  • Understanding of platform security best practices
  • Proficiency in source control/configuration management including Git and GitLab; familiarity with Azure DevOps and Visual Studio Code is a plus
  • Collaborative spirit with proven capabilities in working with international teams
  • Experience working with data engineering and data science teams is a plus

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