veeamsoftware · San Jose, CA, USA
Skills: Python, Java, AWS, Docker
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. What You’ll Do 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 What You’ll Bring 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 operat…
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