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Staff Software Development Engineer in Test (Graph Database)

Veeam

Skills

Required

  • software development / test engineering
  • AWS
  • GraphQL
  • Neo4j
  • AWS Neptune
  • Kubernetes
  • graph technologies
  • Cypher
  • Gremlin
  • relational/OLAP query validation
  • verifying large-scale analytical databases
  • BI reporting
  • backend engines
  • Java / Python / Go

Preferred

  • multi-tenant analytics
  • visualization
  • Azure cloud platforms
  • Build automated test suites
  • verify node/edge relationship integrity
  • sub-graph query optimizations
  • Design automated benchmarking platforms

Join our team as 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. Your responsibilities will include building automated test suites, validating end-to-end data fidelity, designing automated benchmarking platforms, and leveraging Kubernetes for automated regression runs.

USD 229,560 - 426,240

Responsibilities

  • 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.
  • Design automated benchmarking platforms that measure query execution plans, indexing performance, and memory consumption under multi-gigabyte payload conditions.

Requirements

  • Expertise in graph technologies (Cypher, Gremlin, GraphQL, Neo4j, AWS Neptune) and complex relational/OLAP query validation
  • Experience verifying large-scale analytical databases and BI reporting backend engines
  • 8+ years of experience in software development or test engineering using Java, Python, or Go
  • Strong cloud background across AWS and Azure data services, along with Kubernetes deployment orchestration

Benefits

  • Enjoy a range of benefits including unlimited paid time off, medical coverage from day one, and professional training and education opportunities.