Teams at Veeam

Lead system-level and infrastructure testing in a San Jose lab. Build end-to-end test environments spanning on-premises hardware, Kubernetes, and cloud edge topologies. Develop offline validation harnesses, profile operating-system resources, execute hardware-in-the-loop automation, and maintain physical and virtual testbeds. Own automated orchestration for resetting, patching, and reconfiguring test rigs while ensuring platform stability, hardware-software integration, and deployment verification.

Lead quality strategy and automated testing for graph database architectures and high-volume reporting engines. Build test suites for graph traversals, indexing, data fidelity, aggregation accuracy, latency, and schema evolution. Design benchmarking platforms for query and memory performance, and use Kubernetes across AWS and Azure to create isolated multi-tenant database environments for regression testing.

Design and scale distributed data processing and analytics platforms supporting OLTP, OLAP, streaming, batch workloads, and AI-driven decisioning. Build reliable pipelines and integrate cloud data warehouses, lakehouses, and processing systems handling petabyte-scale data. Optimize latency, throughput, reliability, observability, and cost efficiency while collaborating with data scientists, ML engineers, and product teams.