(1120620) Senior Kubernetes Platform Engineer

Job summary

Leads the design, deployment, and lifecycle management of highly available Kubernetes platforms across cloud, on-premises, and hybrid environments, including support for enterprise AI workloads. Builds GitOps-driven operations and secure multi-tenant standards, establishes platform observability and operating practices, and resolves issues across networking, storage, and runtime layers using tools such as Terraform, Helm, Argo CD, and Flux.

Benefits

Qualifications

• Bachelor's degree and at least 10 years of relevant experience.
• Experience building, evolving, and operating production-grade Kubernetes platforms at scale across cloud, on-premises, or hybrid environments.
• Expertise in Linux, cluster networking, and storage architecture, including infrastructure-level troubleshooting.
• Production experience with infrastructure as code and release automation, including Terraform and Helm.
• Experience managing production deployments with GitOps tools such as Argo CD or Flux.
• Hands-on Kubernetes security experience, including RBAC, network policies, secrets and key management, policy enforcement, and cluster hardening.
• Experience with at least one major cloud platform, preferably AWS or Azure.
• Experience implementing monitoring, observability, and operational readiness practices.

Responsibilities

• Lead design, deployment, and lifecycle management of highly available Kubernetes platforms across cloud, on-premises, and hybrid environments.
• Establish secure multi-tenant platform standards for governance, resource efficiency, and workload isolation.
• Automate platform provisioning, upgrades, patching, scaling, and decommissioning using GitOps practices.
• Define standards for deployment, observability, and service operations.
• Integrate security and compliance controls for policy, identity and access, secrets management, and workload protection.
• Establish observability to support issue detection, incident response, and reliability management.
• Own the platform operating model, including service objectives, support expectations, operational readiness, and scaling.
• Resolve complex issues across networking, storage, and runtime layers while improving platform architecture.
• Improve automation, performance, and cost efficiency.
• Partner with security, infrastructure, and application teams to standardize deployments and support platform adoption.

Skills

Certifications

Degrees

Work schedule

Relocation