Kubernetes Platform Engineer
Millennium Management
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.