Senior Systems Engineer, Enterprise - Financial Services

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.

As an Sr. Systems Engineer, Enterprise - Financial Services at Veeam, you will act as a trusted technical and strategic advisor to large enterprise customers 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 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.

What You’ll Do

• Lead complex enterprise pre-sales engagements, including discovery, solution design, architecture validation, and technical closure
• Translate business objectives into secure, scalable, and resilient technical architectures for enterprise customers
• 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

Technologies You’ll Work With

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

What You’ll Bring

• 10+ 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

Bonus Skills

• 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

Impact:

• The opportunity to work on mission-critical data resilience and cyber recovery challenges for enterprise customers
• High impact and visibility influencing enterprise architecture and executive decision-making
• Collaboration with experienced engineers, architects, product leaders, and sales professionals
• A fast-paced, innovative environment that values curiosity, autonomy, and continuous learning
• The ability to shape the future of data resilience across hybrid, multi-cloud, and SaaS ecosystems

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What you'll get

• Paid vacation starting at 15 days per year and increasing to 20 or 25 days based on tenure, with 4 additional global VeeaMe Days and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave that includes 3 weeks for all parents and 12 weeks for birthing parents
• Medical, dental, and vision coverage from day one
• Mental health support, therapy sessions, and digital wellness tools
• RRSP retirement plan with matching contributions
• Fertility support, plus 24 paid volunteer hours through Veeam Cares
• AirVet: 24/7 virtual veterinary care at no cost
• 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

Compensation 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, and skills. Offers are typically made below the midpoint of the range.

Pay Range

$222,200—$412,700 CAD

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.