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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location but highly specialized Kubernetes/platform seniority limits broad applicant pool.
Highly domain-specific Kubernetes operator and platform expertise creates strong domain bias and limited transferability.
Explicit 14+ years plus deep Kubernetes, Go, and platform ownership requirements make filters highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of complex cloud-native platform components from design through production operation.
Serve as technical lead for major team features, translating ambiguous problems into scalable, executable designs aligned with broader platform architecture.
Maintain hands-on involvement in developing Kubernetes operators, controllers, infrastructure automation, and mentor junior engineers while driving engineering excellence.
Minimum Requirements
14+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production.
Proven hands-on experience developing Kubernetes Operators, Controllers, and platform automation using Go and tools like Kubebuilder or Operator Framework.
Experience operating managed (EKS, AKS, GKE) and self-managed Kubernetes environments and supporting stateful services on Kubernetes.
Strong expertise with public cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools such as Terraform or Crossplane.
Ideal Candidate Profile
Deep technical leadership in Kubernetes platform infrastructure at scale, including ownership through deployment and production operations.
Proven ability to translate complex technical initiatives end-to-end across architecture, design, implementation, deployment, and operational support.
Operates at a senior engineering level with broad expertise in cloud-native systems, microservices, observability, and scalable distributed workloads.