Staff Software Development Engineer in Test
San Jose, United States · Hybrid · Full-time
- Posted 3w ago
- From Veeam Software’s careers page
- Location
- San Jose, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Department
- Software Development
Opens the listing on job-boards.eu.greenhouse.io
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About the role
About the Role
We are seeking a Staff Software Development Engineer in Test (SDET) to lead System-Level and Infrastructure Testing locally in our San Jose lab. You will bridge physical/on-prem hardware dependencies with containerized Kubernetes topologies and cloud edge environments, serving as the hands-on technical owner for end-to-end platform stability, hardware/software integration, and deployment verification.
What You'll Do
- Build and maintain end-to-end local test environments in San Jose, mirroring edge-to-cloud topologies, hardware interfaces, and localized system deployments
- Architect local Kubernetes clusters (e.g., K3s, Kind, Minikube) and cloud emulator harnesses (AWS LocalStack, Azure Edge) to enable fully offline, system-level validation
- Profile OS-level resource usage (CPU, memory leaks, I/O bottlenecks, network latency) and run hardware-in-the-loop (HIL) or local service-level automated suites
- Maintain the physical/virtual San Jose lab environment, building automated orchestration tools to reset, patch, and reconfigure test rigs deterministically
What You'll Bring
- 8+ years in system-level SDET, platform engineering, or embedded/infrastructure software testing
- Advanced programming skills in C++, Python, or Go with strong Linux internals, networking protocols (TCP/IP, sockets), and IPC knowledge
- Deep hands-on experience with Kubernetes, container runtimes, and local cloud emulation (AWS/Azure)
- Experience in managing physical or virtual lab testbeds, edge hardware topologies, or local hardware-software integration loops
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About Veeam Software
Data resilience and protection softwareVeeam provides data resilience and security products for backing up, protecting and recovering business data and AI systems.
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