KUBERNETES PLATFORM TECHNICAL LEAD @ HYPTECHIE
Hyptechie is seeking an experienced Kubernetes Platform Technical Lead to lead and drive cloud-native infrastructure initiatives. The successful candidate will be instrumental in architecting and managing scalable platforms, ensuring that our infrastructure supports high-performance microservices and cloud-native applications. This role requires a visionary leader who can bridge the gap between development and operations to foster a robust DevOps culture. The salary for this role is between ₹20–24 LPA.
In this position, you will utilize your deep expertise in Kubernetes, Terraform, and Google Cloud Platform (GKE) to build resilient environments. You will be responsible for overseeing the full lifecycle of containerized applications, from Docker image creation to deployment via CI/CD pipelines using Jenkins. Python scripting will be essential for automating repetitive tasks and enhancing platform efficiency. With 8 to 12 years of experience, you will provide technical mentorship to the team and ensure the implementation of best practices in cloud-native architecture within India.
In this position, you will utilize your deep expertise in Kubernetes, Terraform, and Google Cloud Platform (GKE) to build resilient environments. You will be responsible for overseeing the full lifecycle of containerized applications, from Docker image creation to deployment via CI/CD pipelines using Jenkins. Python scripting will be essential for automating repetitive tasks and enhancing platform efficiency. With 8 to 12 years of experience, you will provide technical mentorship to the team and ensure the implementation of best practices in cloud-native architecture within India.
Key Requirements
Advanced Kubernetes expertise at the platform level.
Strong experience with Infrastructure as Code (IaC) using Terraform.
Hands-on experience with GCP (GKE) or other major cloud platform core services.
Proficiency in building and maintaining CI/CD pipelines using Jenkins.
Extensive knowledge of Docker and containerization technologies.
Solid understanding of cloud-native architecture and microservices design.
Strong Python scripting skills for infrastructure automation.
8 to 12 years of professional experience in cloud or platform engineering.
Proven ability to lead technical teams and drive architectural decisions.
Experience in monitoring and logging for large-scale distributed systems.
Ability to implement security best practices in a Kubernetes environment.