Staff Software Development Engineer in Test (Graph Database)
Veeam Software
$229,560 - $426,240 / year
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Description
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 worldâs 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.Â
What Youâll 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 workloadsÂ
- Validate end-to-end data fidelity, dynamic aggregation accuracy, latency SLAs, and schema evolution across high-volume reporting layersÂ
- Design automated benchmarking platforms that measure query execution plans, indexing performance, and memory consumption under multi-gigabyte payload conditionsÂ
- Leverage Kubernetes on AWS (EKS) and Azure (AKS) to spin up isolated, multi-tenant database clusters loaded with synthetic graph datasets for automated regression runsÂ
What Youâll Bring
- 8+ years of experience in software development or test engineering using Java, Python, or GoÂ
- Expertise in graph technologies (Cypher, Gremlin, GraphQL, Neo4j, AWS Neptune) and complex relational/OLAP query validationÂ
- Strong cloud background across AWS and Azure data services, along with Kubernetes deployment orchestrationÂ
- 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, OâReilly), 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.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.Â
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.
Benefits
- health insurance
- vision insurance
- 401(k)
- paid time off
- parental leave
About this role
Graph database testing at scale is the focus of this Staff SDET role at Veeam. You'd own the quality strategy for verifying complex graph traversals, indexing algorithms, and multi-tenant analytics systems running on AWS and Azure. The work spans building automated test suites for node/edge relationships and query optimization, designing benchmarking platforms to measure performance under multi-gigabyte payloads, and using Kubernetes to orchestrate isolated database clusters with synthetic datasets for regression testing.
This role demands 8+ years in software development or test engineering with fluency in Java, Python, or Go, combined with hands-on expertise in graph technologies like Neo4j, AWS Neptune, and GraphQL. You'll need strong cloud infrastructure knowledge across AWS and Azure data services and Kubernetes orchestration, plus experience validating large-scale analytical databases and BI reporting backends. The position is based in San Jose and requires in-office work.
The compensation range is $250,400â$465,100 annually, with a comprehensive benefits package including unlimited paid time off, parental leave, health coverage from day one, and professional development through LinkedIn Learning and O'Reilly. Note that this is listed as a volunteer position, which may warrant clarification before applying.
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Pay for this role
$229,560 to $426,240 per year
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