Kubernetes Platform Engineer - Client-Facing Ops & DevOps

Midis Group; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

Midis Group is seeking an experienced Kubernetes Administrator to support a key client engagement. The role focuses on Kubernetes operations, container management, and DevOps automation across big data platforms.

You will troubleshoot platform issues, manage incidents, and interact with client teams to ensure timely resolution. Proficiency with Docker, Helm, Quay, and GitLab CI/CD is essential.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related field.
• Experience with Kubernetes administration and containerization.
• Familiarity with DevOps pipelines (GitLab) and CI/CD processes.
• Experience managing Docker images and registries (Quay).

Responsibilities

• Troubleshoot and resolve platform issues to maintain stability and performance.
• Raise, track, and manage incidents and service requests.
• Engage with client teams to discuss issues and provide updates.
• Build and manage Kubernetes components including network policies, ingress/egress, secrets and configMaps; deploy Helm charts.
• Set up and manage Python virtual environments for workloads.
• Work with Spark, Airflow, Hive, and HDFS in big data contexts; manage workload queues.
• Manage DNS, proxies, and environment variables for environments.
• Handle SSL certificates and permissions; manage Postgres access policies.
• Familiarity with S3-compatible object storage systems (Dell ECS).
• Experience with GitLab-based CI/CD pipelines and workflows.
• Manage system daemons and ensure service health across platforms.

Skills

Kubernetes administration

Containerization

DevOps pipelines

Python environments

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Quay registry

Helm charts

GitLab

Job description

Midis Group is seeking an experienced Kubernetes Administrator to support a key client engagement. The role focuses on Kubernetes operations, container management, and DevOps automation across big data platforms.

You will troubleshoot platform issues, manage incidents, and interact with client teams to ensure timely resolution. Proficiency with Docker, Helm, Quay, and GitLab CI/CD is essential.