Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.

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.

Lead end-to-end GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. Configure and troubleshoot GPU nodes (GPU Operator, CUDA, RDMA/InfiniBand), CNI and storage (CSI, Ceph/Rook/Weka/Longhorn), validate managed K8s, produce playbooks, transfer knowledge to customers, and feed infrastructure learnings back to Product and Engineering while supporting pre-sales proofs of value.

Lead end-to-end post-sales customer success for vCluster: onboard customers, build success plans, drive adoption, articulate business value, run executive reviews, design deployment architectures, and own renewals and expansion while advocating customer needs to Product and Engineering.

Lead and build the finance and accounting function for a high-growth SaaS startup. Own FP&A and financial modeling, ensure accurate accounting and compliance, manage audits and month-end close, lead fundraising diligence and investor relations, partner with the executive team and Board, and influence product and sales decisions using unit economics. Hands-on operator expected to run models and query the data warehouse.

Design and validate partner reference architectures, enable partner and field teams, run partner-sourced POCs and demos, stand up partner Centers of Excellence, and cultivate technical and executive relationships with strategic GPU and cloud partners to scale channel-driven pipeline.

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.