Hiring: Staff Software Development Engineer in Test Company: Veeam Software Location: San Jose, CA Job Posted Time: 2026-09-17 08:54:27 Target Skills & Keywords : AWS, Azure, EKS, GraphQL, Java, Kubernetes, Maven, Neo4j, Neptune, Node.js, Python About the job Experience: •8+ years of experience in software development or test engineering using Java, Python, or Go Required Skills: •We are seeking a Staff Software Development Engineer in Test (SDET) focused on Graph Database Architectures and High-Volume Reporting Engines. You will lead the quality strategy for verifying complex graph traversals, indexing algorithms, multi-tenant analytics, and real-time visualization systems built across AWS and Azure cloud platforms. •Build automated test suites to verify node/edge relationship integrity, sub-graph query optimizations, and path traversal correctness (e.g., Neo4j, AWS Neptune, GraphQL) under concurrent workloads •Validate end-to-end data fidelity, dynamic aggregation accuracy, latency SLAs, and schema evolution across high-volume reporting layers •Design automated benchmarking platforms that measure query execution plans, indexing performance, and memory consumption under multi-gigabyte payload conditions •Leverage Kubernetes on AWS (EKS) and Azure (AKS) to spin up isolated, multi-tenant database clusters loaded with synthetic graph datasets for automated regression runs •8+ years of experience in software development or test engineering using Java, Python, or Go •Expertise in graph technologies (Cypher, Gremlin, GraphQL, Neo4j, AWS Neptune) and complex relational/OLAP query validation •Strong cloud background across AWS and Azure data services, along with Kubernetes deployment orchestration Compensation: •$250,400 - $465,100 / year •Competitive benefits and rewards package •Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!