Staff SDET - Graph DBs & High-Volume Analytics

Veeam; San Jose (CA); On-site; USD 250,000 - 465,000; Full time

Benefits offered by this job

Unlimited paid time off

12 paid holidays including VeeaMe Days

Medical, dental, vision coverage

401(k) with company matching

Volunteer time

Job summary

Veeam is 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.

Responsibilities include building automated test suites for node/edge integrity, end-to-end data fidelity, and benchmarking query plans, while leveraging Kubernetes on AWS

Qualifications

• 8+ years of software development or test engineering experience.
• Experience with graph technologies and complex analytical query validation.
• Cloud experience with AWS and Azure and Kubernetes deployment.

Responsibilities

• Build automated test suites to verify node/edge relationships, sub-graph queries, and path traversal under concurrency.
• 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 plans, indexing performance, and memory usage on large payloads.
• Leverage Kubernetes on AWS (EKS) and Azure (AKS) to spin up isolated, multi-tenant graph clusters for regression runs.

Skills

Java Python Go

Graph databases

AWS Azure

Kubernetes

Tools

Neo4j

Gremlin

GraphQL

AWS Neptune

Job description

Veeam is 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.

Responsibilities include building automated test suites for node/edge integrity, end-to-end data fidelity, and benchmarking query plans, while leveraging Kubernetes on AWS