Why this role stands out
This hybrid role offers a fantastic opportunity to design and manage cutting-edge Kubernetes infrastructure, fostering significant career growth and skill development within a reputable company. You'll thrive here if you possess a strong technical background in Kubernetes, containerization, and cloud platforms, and are eager to contribute to resilient and scalable cloud solutions. Apply now to leverage your expertise and shape the future of cloud technology.
Quick overview
Job description
The Full Stack Kubernetes Engineer is responsible for designing, deploying, and operating the company's cluster-based cloud infrastructure. This role ensures reliable deployment, integration, and testing of cloud products and services across development, test, and operational environments.
Education & Background
Bachelor’s degree (minimum) or Master’s degree in:
Computer Science
Computer Engineering
Electrical Engineering
Related technical discipline
Strong foundation in operating systems, networking, and distributed systems Core Responsibilities
Design, deploy, and manage Kubernetes-based cluster environments
Own cluster deployments, upgrades, and configuration management
Integrate cloud products and services into cluster environments
Lead integration and system-level testing of containerized services
Manage container lifecycle including images, pods, services, and namespaces
Collaborate with application developers to ensure scalable, resilient deployments
Monitor system performance, reliability, and resource utilization
Troubleshoot infrastructure, networking, and deployment issues
Document cluster architectures, deployment procedures, and operational best practices Technical Skills & Experience
Strong, hands-on experience with:
Kubernetes (clusters, pods, services, ingress, networking)
Container technologies (Docker or equivalent)
Cluster and cloud platforms (on-prem, hybrid, or cloud-native environments)
Proven experience managing Linux-based systems in production environments Understanding of:
CI/CD pipelines for containerized deployments
Infrastructure-as-Code concepts (e.g., Helm, Terraform, or equivalents)
Networking fundamentals (DNS, routing, load balancing)
Experience with monitoring, logging, and observability tools is a plus
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