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Aranya Inc. · 2 days ago

Kubernetes Platform Engineer

San Francisco, CA

Full-time

Onsite

Mid, Senior Level

Aranya Inc. simplifies Kubernetes adoption by providing production-grade infrastructure for developers and teams. They are seeking a Kubernetes Platform Engineer who will be responsible for building and evolving ClusterdOS, designing systems to manage Kubernetes complexity, and creating automation for cluster management.

Cloud ComputingCloud ManagementSoftware

Responsibilities

Build and extend ClusterdOS core features using Go, including custom Kubernetes operators and controllers

Design and implement GitOps workflows with ArgoCD that make continuous deployment feel automatic

Develop infrastructure-as-code patterns using Terraform and Helm that provision and manage clusters seamlessly

Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable cluster storage

Create observability and monitoring systems using Prometheus and Grafana to surface cluster health and performance

Build and optimize container networking with Cilium for network security and observability

Design and implement federated Kubernetes architectures for multi-cluster management

Build automation tooling that reduces operational overhead for developers running production workloads

Contribute to open source components

Establish platform architecture patterns and practices as an early engineering team member

Qualification

GoKubernetesArgoCDInfrastructure as CodeCI/CD pipelinesObservabilityContainerizationNetworkingCloud-native architecturesSystem designSelf-directed

Required

Go — Strong proficiency building system-level tooling, controllers, and distributed systems

ArgoCD — Deep experience with GitOps workflows, declarative infrastructure, and continuous deployment patterns

Kubernetes — Production experience with Kubernetes internals, custom resources (CRDs), operators, cluster architecture, etcd clusters, including backup/restore procedures and troubleshooting cluster health issues

Infrastructure as Code — Experience with Terraform, Helm, or similar tools for automating infrastructure provisioning. Experience with Ansible, Kubespray, or similar orchestration frameworks

Observability — Familiarity with monitoring and logging systems like Prometheus, Grafana, or similar platforms

Strong understanding of containerization, networking, and cloud-native architectures

Experience with CI/CD pipelines and automation workflows

Ability to design systems that are both powerful and simple to use

Self-directed with good prioritization instincts — you can identify what matters and execute accordingly