Virtualization Engineer

Design intelligent compute scheduling and resource allocation strategies for CPU, memory, storage, networking, and GPU resources.

Implement virtualization technologies that improve infrastructure utilization while ensuring predictable performance.

Optimize workload placement, scaling, and resource balancing across distributed clusters.

Build automation for provisioning, migration, recovery, and lifecycle management of virtualized environments.

Optimize virtualization stacks for low-latency, high-throughput, and efficient resource utilization.

Debug complex infrastructure issues across Linux systems, networking, storage, hypervisors, and Kubernetes environments.

Improve system performance through profiling, benchmarking, and infrastructure tuning.

Design highly available infrastructure with redundancy, fault tolerance, and disaster recovery capabilities.

Build secure multi-tenant virtualization environments for enterprise customers.

Implement networking, storage, identity, and access controls across virtualized infrastructure.

Design infrastructure supporting customer VPC deployments, air-gapped environments, and on-premises installations.

Ensure compliance with enterprise security, governance, and operational best practices.

Build comprehensive monitoring for virtualization infrastructure, resource utilization, and system health.

Implement telemetry for compute performance, storage, networking, GPU utilization, and infrastructure reliability.

Conduct code reviews and establish engineering best practices for infrastructure automation and platform reliability.

Collaborate closely with AI platform, orchestration, inference, and DevOps teams to continuously improve infrastructure capabilities.

Cloud & Hybrid Infrastructure: Experience building platforms across AWS, Azure, GCP, OpenStack, VMware, or hybrid cloud environments.

Systems Programming: Experience developing low-level systems software, Linux kernel modules, virtualization services, device drivers, or storage systems.

Enterprise Infrastructure: Experience designing infrastructure for customer VPC deployments, on-premises environments, or regulated enterprise workloads.

Platform Engineering: Experience building Internal Developer Platforms (IDPs), infrastructure control planes, Kubernetes Operators, or cluster lifecycle management systems.

Founder-level ownership and bias for action.

Strong strategic thinking and ability to connect technical decisions to business impact.

Excellent communication and mentoring skills.

Thrives in ambiguity, fast-paced environments, and early-stage startup culture.

Work directly with high-pedigree founders shaping technical and product strategy.

Build infrastructure powering the future of AI compute globally.

Significant ownership and impact with equity reflective of your contributions.

Competitive compensation, flexible work options, and wellness benefits