Senior Kubernetes Engineer

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Design and manage production Kubernetes clusters on bare metal, private cloud, and on-premises infrastructure.

• Take ownership of the Kubernetes platform architecture from cluster design to deployment and ongoing operations.

• Define reference Kubernetes deployments that can be installed and operated by client infrastructure teams.

• Design and oversee CNI networking, CSI integrations, persistent storage, ingress, and load balancing.

• Manage etcd backup, recovery, health monitoring, and disaster recovery processes.

• Develop and maintain deployment workflows utilizing Helm and GitOps tools such as ArgoCD or Flux.

• Employ Terraform to automate infrastructure and Kubernetes platform provisioning when applicable.

• Design and implement air-gapped and restricted-network Kubernetes deployments.

• Oversee container image mirroring, private registries, and offline installation methods.

• Deploy and manage stateful workloads including Kafka, Flink, Spark, databases, and their operators.

• Create highly available Kubernetes platforms for mission-critical workloads.

• Implement security hardening for regulated and security-sensitive environments.

• Define and enforce RBAC, network policies, secrets management, and cluster security policies.

• Plan for cluster capacity, node resources, scaling strategies, and workload placement.

• Design and execute disaster recovery and business continuity plans.

• Plan and execute Kubernetes upgrades with minimal or no downtime.

• Support GPU scheduling and node management for AI and data-intensive workloads.

• Collaborate with client infrastructure and operations teams during deployment, handover, and operational readiness.

• Engage in security reviews and technical architecture discussions.

• Diagnose complex networking, storage, scheduling, and cluster-level production problems.

• Establish operational standards, runbooks, monitoring requirements, and troubleshooting protocols.

⛳️ Requirements

• Demonstrated experience as a Senior Kubernetes Engineer, Platform Engineer, DevOps Engineer, or a related role.

• Strong practical experience in building and managing production Kubernetes clusters on bare metal or private cloud.

• Familiarity with client-owned, on-premises, or sovereign infrastructure environments.

• Solid understanding of Kubernetes architecture and the components typically abstracted away by managed Kubernetes services.

• Extensive knowledge of Kubernetes networking and CNI behavior.

• Significant experience with CSI, persistent storage, and stateful workloads on Kubernetes.

• Strong comprehension of ingress controllers, service networking, and load balancing without reliance on a public cloud provider.

• Practical experience with etcd operations, including backup, recovery, troubleshooting, and cluster health management.

• Experience with Helm and Kubernetes package management.

• Practical exposure to ArgoCD, Flux, or similar GitOps tools.

• Strong Terraform skills for infrastructure and platform provisioning.

• Proven experience deploying Kubernetes in air-gapped or highly restricted network scenarios.

• Familiarity with private container registries, image mirroring, and offline installation workflows.

• Experience operating stateful technologies on Kubernetes, including Kafka, Flink, Spark, databases, and their operators.

• Strong understanding of Kubernetes security, including RBAC, network policies, secrets management, and policy enforcement.

• Experience in hardening Kubernetes platforms for regulated or security-sensitive environments.

• Strong understanding of PKI, certificates, TLS, and certificate lifecycle management within Kubernetes environments.

• Experience in capacity planning, high availability, disaster recovery, and cluster scaling.

• Proven track record of performing Kubernetes upgrades while minimizing service disruptions.

• Experience with GPU scheduling, node management, and Kubernetes workloads that support AI or data-intensive applications.

• Strong troubleshooting abilities across networking, storage, compute, scheduling, and Kubernetes control-plane components.

• Experience working directly in client data centers and participating in infrastructure or security assessments.

• Ability to create clear deployment documentation, operational runbooks, and handover materials for client operations teams.

• Strong understanding of production reliability, observability, and operational readiness for Kubernetes platforms.

🏝️ Benefits

• Competitive salary and benefits package.

• Opportunities for professional growth and development.

• Flexible working hours and remote work options.

• Collaborative and innovative working environment.