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2 Days ago

Software Engineer - Tools and Services

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Gurugram, Haryana, India
Information Technology
Full-Time
Calix

Overview

Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.

We are seeking a motivated Cloud DevOps Engineer to join our team. This role is perfect for candidates with foundational experience in DevOps and cloud technologies who are eager to grow their skills in a dynamic environment, while contributing to Atlassian-based workflows and AI-powered automation projects.

Responsibilities:

  • Configure, administer, and troubleshoot builds for cloud-based microservices.
  • Execute branch management and code promotion throughout the development cycle.
  • Automate build and deployment pipelines using Jenkins/Bamboo and Argo CD.
  • Implement containerization and orchestration using Docker and Kubernetes.
  • Manage artifact lifecycle using tools like Artifactory or Nexus.
  • Collaborate with cross-functional teams for seamless integration and deployment.
  • Document processes and provide support for release activities.
  • Administer and optimize Atlassian tools (Jira, Bitbucket, Bamboo) for CI/CD workflows and project tracking.
  • Contribute to AI initiatives such as intelligent pipeline monitoring, anomaly detection, and automated remediation strategies.


Qualifications:

  • Bachelor’s Degree in Computer Science or related field.
  • 0–4 years of experience in build/release engineering or DevOps.
  • Knowledge with Linux/Unix, PHP, and/or shell scripts.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
  • Experience with Java, Python, Go, NodeJS/JavaScript or any other programming languages.
  • Understanding of CI/CD concepts and DevOps practices.
  • Basic knowledge of containerization and orchestration technologies.


Preferred Skills:

  • Exposure to Helm, REST APIs, and YAML.
  • Understanding of security best practices in cloud environments.
  • Strong communication and collaboration skills.
  • Interest or experience in AI/ML applied to DevOps automation.
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