Systems Engineer

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

The future of data resilience is here - go fearlessly forward with us.

As a VCSP Pre-Sales Systems Engineer at Veeam, you will act as a trusted technical and strategic advisor to service provider partners facing complex data resilience and cyber recovery challenges. You will engage deeply with both technical and executive stakeholders to design secure, resilient, and future‑ready architectures and services across hybrid, multi‑cloud, and SaaS environments. This role blends hands‑on technical expertise with executive‑level influence, driving real business outcomes through resilient data platforms.

• Lead complex enterprise‑level pre‑sales engagements, including discovery, solution design, architecture validation, and technical closure
• Translate business objectives into secure, scalable, and resilient technical architectures for service provider partners
• Deliver high‑impact technical demonstrations and executive‑level presentations focused on business value and cyber risk reduction
• Design, manage, and execute proof‑of‑concepts (POCs) aligned to customer success criteria and operational realities
• Collaborate with sales teams, partners, product management, and engineering to influence solution architecture and customer outcomes

Hybrid Cloud, Multi‑Cloud & SaaS Platforms, Virtualization Technologies, Enterprise Storage Systems, Cyber Resilience & Data Protection Technologies

• 5+ years of experience in pre‑sales engineering, solutions architecture, or senior technical leadership roles within enterprise environments
• Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
• Proven success leading complex, multi‑stakeholder sales cycles including discovery, solution design, POCs, and executive engagements
• Strong technical foundation across data resilience, infrastructure platforms, cloud services, networking, and security
• Solid understanding of data security, privacy, governance, and regulatory considerations for enterprise customers
• Excellent communication and presentation skills, with the ability to engage C‑level executives and senior IT leaders

• Experience working with and supporting aaS products, service provider business, and managed service providers who deliver technical services to customers
• Experience with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud
• Hands‑on knowledge of Windows and Linux operating systems in enterprise deployments
• Experience with virtualization platforms such as VMware vSphere, Hyper‑V, or Nutanix AHV
• Familiarity with Kubernetes, containerized workloads, and cloud‑native data protection
• Background working with data protection, cyber resilience, or enterprise infrastructure vendors

• Unlimited paid time off, 12 paid holidays, plus 4 extra global Veea Me 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
• Air Vet: 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 (Linked In…