Staff Software Development Engineer in Test (Graph Database)

About the 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.

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 You'll Do

• 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

What You'll Bring

• 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
• Experience verifying large-scale analytical databases and BI reporting backend engines

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What you'll get

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage starting on your first day
• Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
• 401(k) retirement plan with company matching contributions
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Pay Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

Compensation Range (TTC / OTE) $229,560—$426,240 USD

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By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.