Startups

Staff Software Development Engineer in Test (Graph Database)

Veeam · San Jose, CA, USA · On-site

← All jobs
About Veeam

Backed by Insight.

About the role

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.

What they're looking for

  • 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
More about this 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.

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

-...

Read the full posting on Veeam's site ↗

Securiti_MohammedMaqsood 1009692

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.