Senior Kubernetes Engineer
New
S
SSC HR SolutionsCloud Infrastructure
Cairo, Cairo Governorate, EgyptFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- KafkaKubernetesSparkTerraformHelm
Requirements
- Proven experience as a Senior Kubernetes Engineer, Platform Engineer, DevOps Engineer, or similar role.
- Strong hands-on experience building and operating production Kubernetes clusters on bare metal or private cloud.
- Deep knowledge of Kubernetes networking, CNI behavior, CSI, persistent storage, and stateful workloads.
- Strong experience with ingress controllers, service networking, and load balancing without public cloud reliance.
- Hands-on experience with etcd operations, backup, recovery, and cluster health.
- Experience with Helm and GitOps tooling (ArgoCD or Flux).
- Strong Terraform experience for infrastructure and platform provisioning.
- Proven experience deploying Kubernetes in air-gapped or highly restricted network environments.
- Experience operating stateful technologies on Kubernetes (Kafka, Flink, Spark, databases).
- Strong understanding of Kubernetes security (RBAC, network policies, secrets, policy enforcement).
- Strong understanding of PKI, certificates, TLS, and certificate lifecycle management.
- Experience with GPU scheduling, capacity planning, and high availability/disaster recovery.
Responsibilities
- Design and operate production Kubernetes clusters on bare metal, private cloud, and on-premises infrastructure.
- Define reference Kubernetes deployments that can be installed and operated by client infrastructure teams.
- Design and manage CNI networking, CSI integrations, persistent storage, ingress, and load balancing.
- Manage etcd operations, including backup, recovery, health monitoring, and disaster recovery procedures.
- Build and maintain deployment workflows using Helm and GitOps tools such as ArgoCD or Flux.
- Design and implement air-gapped and restricted-network Kubernetes deployments.
- Implement security hardening, RBAC, network policies, and secrets management for regulated environments.
- Plan and perform Kubernetes upgrades with minimal or zero downtime.
- Support GPU scheduling and node management for AI and data-intensive workloads.
- Establish operational standards, runbooks, monitoring requirements, and troubleshooting procedures.
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