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.
You will lead quality engineering for Veeam Data Command Platform, owning the strategy, teams, and automation that make every release reliable, secure, and ready for enterprise scale. Your teams will test the Knowledge Graph, the hyperscale data lake integrations, and the Universal Connector Framework. You will own quality for integrating Veeam backup workloads into the platform.
This role is for a hands-on quality leader who treats test automation as a core engineering discipline, understands backup and resilience deeply, and can build an AI-first quality culture where automation and agentic tools are a standard part of how teams ship.
What You’ll Do- Set the quality vision and strategy across Data Command Platform, including test architecture, release criteria, and quality metrics that teams can act on
- Build and lead QA and SDET teams by hiring, coaching, and developing managers and senior engineers, with clear expectations and growth paths
- Own quality for the integration of Veeam backup workloads, including validating backup, restore, replication, and recovery workflows and how backup data and metadata flow into the platform
- Define resilience testing standards, including failure injection, chaos testing, disaster recovery scenarios, and recovery time and recovery point objective (RTO/RPO) validation
- Drive test automation at every layer unit, API, integration, end-to-end, performance, and security built into CI/CD pipelines with fast, reliable feedback
- Build scalable test frameworks and environments for connectors across SaaS, IaaS, and AI platforms, including test data management, service virtualization, and contract testing for third-party APIs
- Lead performance, scale, and reliability testing for the Knowledge Graph and data lake integrations, including large-volume scans, graph queries, and ingestion pipelines
- Build an AI-first quality practice where teams use tools like Claude Code, Cursor, and Copilot to generate, maintain, and triage tests, with guardrails that protect quality and security
- Create reusable “Claude skills” and agent workflows that standardize test patterns, test generation, and failure analysis
- Own release readiness, escaped-defect analysis, and continuous improvement in partnership with engineering, product, and support
- 12+ years in software quality engineering, test automation, or software development, including significant hands-on SDET experience
- 6+ years of quality engineering leadership experience, including leading through managers and scaling multiple teams
- Hands-on experience testing backup, recovery, or data resilience products and workloads; experience with Veeam products is a strong plus
- Strong understanding of backup and resilience concepts, including snapshots, replication, immutability, RTO/RPO, and ransomware recovery
- Proven experience building test automation frameworks from the ground up in Python, Go, and/or Java
- Experience testing distributed systems, REST/GraphQL APIs, and cloud platforms (AWS, Azure, Google Cloud) at scale
- Strong background in CI/CD and test infrastructure, such as GitHub Actions, Jenkins, Kubernetes, and containerized test environments
- Experience with performance, load, and chaos testing tools (e.g., k6, JMeter, Locust, Chaos Mesh)
- Practical experience using AI-assisted development tools and the judgement to set standards that keep AI-assisted testing reliable and secure
- Experience testing data security, data governance, DSPM, or AISPM products
- Familiarity with graph databases (Neo4j, Amazon Neptune) or data lakes/lakehouses (Delta Lake, Iceberg)
- Experience testing enterprise SaaS integrations and identity/permission models (e.g., Microsoft 365, Salesforce, Snowflake)
- Background in security testing practices (SAST, DAST, and penetration testing coordination)
- Experience building custom agents or MCP-based workflows for test automation
- Infrastructure-as-Code experience for test environments (e.g., Terraform or Pulumi)
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.
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.
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.
Skills Required
- 12+ years in software quality engineering, test automation, or software development, including significant hands-on SDET experience
- 6+ years of quality engineering leadership experience, including leading through managers and scaling multiple teams
- Hands-on experience testing backup, recovery, or data resilience products and workloads
- Strong understanding of snapshots, replication, immutability, RTO/RPO, and ransomware recovery
- Experience building test automation frameworks from the ground up using Python, Go, and/or Java
- Experience testing distributed systems, REST/GraphQL APIs, and cloud platforms at scale
- Strong background in CI/CD and test infrastructure, including GitHub Actions, Jenkins, Kubernetes, and containerized test environments
- Experience with performance, load, and chaos testing tools such as k6, JMeter, Locust, or Chaos Mesh
- Practical experience using AI-assisted development tools and establishing reliable, secure testing standards
- Experience with Veeam products
- Experience testing data security, data governance, DSPM, or AISPM products
- Familiarity with Neo4j, Amazon Neptune, Delta Lake, or Iceberg
- Experience testing enterprise SaaS integrations and identity or permission models, such as Microsoft 365, Salesforce, or Snowflake
- Background in SAST, DAST, and penetration testing coordination
- Experience building custom agents or MCP-based workflows for test automation
- Infrastructure-as-Code experience using Terraform or Pulumi
Veeam Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeam and has not been reviewed or approved by Veeam.
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Healthcare Strength — Healthcare coverage is comprehensive with options that include employee-only no-cost tiers, plus mental-health support through an assistance program. Feedback suggests these offerings compare well in tech.
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Leave & Time Off Breadth — Time off includes unlimited PTO in the U.S., paid company holidays, quarterly company-wide recharge days, and paid volunteer time. Feedback suggests team norms influence how fully this flexibility is utilized.
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Strong & Reliable Incentives — Sales and pre-sales roles feature meaningful on-target earnings with competitive base and variable structures. Feedback suggests these plans provide strong upside for high performers.
Veeam Insights
What We Do
Veeam provides a single platform for modernizing backup, accelerating hybrid cloud and securing data. Veeam has 400,000+ customers worldwide, including 82% of the Fortune 500 and 69% of the Global 2,000. Veeam’s 100% channel ecosystem includes global partners, as well as HPE, NetApp, Cisco and Lenovo as exclusive resellers, and boasts more than 35K transacting partners worldwide.
