Staff Software Development Engineer in Test

Veeam Software • San Jose, CA

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About The Position

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) specializing in Data Connectors & High-Scale Ingestion . In this role, you will be the technical authority responsible for designing testing frameworks and benchmarking tools that validate multi-source data integration pipelines processing petabyte-scale throughput across AWS, Azure, and Kubernetes.

Requirements

• 8+ years of software engineering/SDET experience in C++, Java, Go, or Python
• Deep experience in testing streaming architectures (Kafka, Event Hubs), queueing systems, and API protocols (gRPC, WebSockets, REST)
• Hands-on proficiency with AWS, Azure, and Kubernetes (Helm, custom controllers, or K8s operators)
• Proven track record building custom distributed load-generation tools (e.g., Locust, k6, custom Go/Java engines)

Responsibilities

• Design and execute scalable performance, backpressure, and stress-testing harnesses for ingestion connectors (REST, gRPC, CDC, Kafka, RabbitMQ)
• Build automation suites across AWS (S3, SQS, Kinesis, EKS) and Azure (Event Hubs, Blob, AKS) to test real-world connector data flows under degraded network conditions and extreme concurrency
• Implement automated fault-injection pipelines (simulating schema drift, network partitions, rate limits, and authentication failures) to guarantee zero-data-loss execution
• Utilize Kubernetes to dynamically orchestrate transient, high-concurrency test clusters and mock target endpoints at scale

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed