Senior Software Engineer (Sandboxes & Virtualization)

Join our team as a Senior Software Engineer, where you will be responsible for building and operating secure, high-performance runtime environments for multi-tenant Kubernetes platforms. You will design, build, and evolve secure sandboxed runtime environments, develop platforms that integrate container runtimes and lightweight virtual machines, and contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers. The ideal candidate will have proficiency in systems-oriented programming, strong hands-on experience with Kubernetes, and a curiosity about the intersection of security, virtualization, Kubernetes, and GPU infrastructure.

• Design, build, and evolve secure sandboxed runtime environments for workloads running on Kubernetes, with a strong emphasis on runtime isolation, performance, and security.
• Develop platforms that integrate container runtimes, lightweight virtual machines, and virtualization technologies, while engineering support for GPU-accelerated workloads in multi-tenant environments.
• Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers to ensure long-term scalability and operational excellence.

• Proficiency in systems-oriented programming (Go, C/C++, Rust, or Bash) with a strong understanding of Linux internals and operating system behavior
• Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures, including building Kubernetes-native components (e.g., controllers, operators, or scheduling extensions)
• Experience building systems for safely executing untrusted or sensitive workloads in shared environments
• Demonstrated experience designing, implementing, or operating secure execution environments such as container runtimes, sandboxed workloads, or virtualized systems
• You’re curious about the intersection of security, virtualization, Kubernetes, and GPU infrastructure
• Experience diagnosing and resolving complex performance, reliability, or isolation issues across containers, virtual machines, and underlying infrastructure
• You’re an expert in reasoning about tradeoffs between isolation, performance, and operability
• Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques
• 3+ years of experience in systems, platform, infrastructure, or production engineering roles building and operating software at scale
• Experience conducting profiling, benchmarking, and performance tuning across runtime, virtualization, and GPU stacks
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. If some of this describes you, we’d love to talk
• You love building high-performance systems that operate reliably under extreme scale and demand
• Experience supporting or optimizing GPU-accelerated workloads in multi-tenant environments, including knowledge of GPU scheduling, isolation, device passthrough, mediated devices, or GPU virtualization concepts
• Experience defining threat models and implementing runtime security policies in multi-tenant systems
• Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU, or similar)