Top Tech Jobs & Startup Jobs in Vancouver

Write and maintain conceptual, how-to, and reference documentation for vCluster products and tenant-isolation concepts. Verify procedures by running software, standing up Kubernetes tenant clusters, capturing screenshots, and confirming CLI output. Collaborate with engineers using tickets and design documents, improve documentation information architecture, and edit content for terminology and style consistency. The role requires Kubernetes fundamentals, terminal and CLI proficiency, technical writing experience, versioned documentation workflows, and comfort using AI-assisted writing and coding tools.

Build production infrastructure features in Go while embedding security into the product. Own vulnerability triage and remediation through patched releases, threat-model new features, conduct security-sensitive code and design reviews, and improve secure engineering practices. Requires deep Kubernetes knowledge, including API server, admission control, RBAC, controllers, kubelet, and attack surfaces such as container breakout and privilege escalation.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Lead product direction for vMetal, defining specs and tradeoffs, validating alpha/beta builds on bare metal, engaging platform-engineer customers, positioning the product in the GPU/bare-metal ecosystem, and aligning engineering, sales, and GTM teams.

Lead architecture and backend development for the vCluster platform by designing and implementing Kubernetes-native solutions in Go, owning features end-to-end, contributing to open-source, and solving deep systems challenges around multi-tenancy, isolation, and GPU infrastructure.

Architect and build core backend components of the vCluster platform by working deeply with Kubernetes internals. Write high-performance Go code, take end-to-end ownership from design to release, contribute to open-source projects, and solve complex systems and multi-tenancy problems for GPU and Kubernetes-based infrastructure.