Millennium (India) is seeking a skilled and motivated individual to join our team as a Kubernetes Platform Engineer. This is an exciting opportunity for someone who is passionate about Open-Source software. You will help enable Kubernetes for a wide range of use cases across our entire estate.

Principal Responsibilities

• Manage the full lifecycle of Kubernetes clusters, components, and cluster services.
• Drive the elimination of operational tasks through automation and self-service.
• Develop well-defined processes for testing and integrating new technologies to meet both business and technical needs.
• Ensure efficient utilization of resources through metrics and reporting.
• Implement and maintain security best practices across Kubernetes clusters.
• Lead incident response for Kubernetes-related issues, ensuring timely resolution and minimal impact on operations.
• Develop and maintain comprehensive documentation and provide training to users on Kubernetes best practices and new features.
  
  

Qualifications/Skills Desired

• Proficient in creating and managing the full lifecycle of Kubernetes clusters, with a solid understanding of cluster components and operations.
• Experienced in creating and managing Kubernetes operators.
• Experienced in working with bare metal servers and public cloud technologies like AWS, GCP, and Azure.
• In-depth knowledge of Linux systems administration, networking, and security.
• Strong programming and scripting skills, proficient in BASH, Python, or Golang.
• Deep understanding of distributed systems, with the ability to effectively manage and troubleshoot in such environments.
• Significant experience with IAC
• Proven experience in large-scale collaborative software projects involving source control and SDLC strategies.
• Demonstrated strong problem-solving abilities, with a knack for complex troubleshooting and root cause analysis.
• Excellent team player with a strong willingness to contribute and assist others.
• Exceptional interpersonal and written communication skills.
  
  

Education And Experience

• Bachelor's / Master’s degree in Computer Science, Mathematics, or a related field.
• A minimum of 3-5 years of relevant work experience.