Staff Software Development Engineer in Test (Infrastructure)

About the role

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk.

Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.

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

#LI-AA3

What you'll get

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage starting on your first day
• Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
• 401(k) retirement plan with company matching contributions
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Pay Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

Compensation Range (TTC / OTE) $229,560—$426,240 USD

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By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.