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
As a Senior Forward Deployed Engineer, you will be the technical owner for some of the most complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from the platform in complex enterprise environments.
You will work across deployment, integration, automation, and solution design. You will also handle deep technical escalations and build reusable patterns, tools, and playbooks that help the wider Forward Deployed Engineering team move faster and deliver more consistently.
This is a hands-on senior engineering role. You will work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will turn complex data, security, privacy, and AI needs into practical solutions that can scale.
What You'll Do
- Own technical delivery for the most complex customer accounts, from deployment through scaled, everyday use
- Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure
- Define solution architecture for customers with complex data estates, security needs, and business requirements
- Adapt platform behavior when standard configuration does not fully match the customer’s data, workflows, or risk model
- Build and operate integrations across customer systems, including identity, SIEM, ITSM, data platforms, APIs, and downstream tools
- Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers
- Build reusable agents, automations, tools, and playbooks that help the broader FDE team deliver faster and with higher quality
- Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up
- Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers
- Mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work
- Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field
What You'll Bring
- 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
- Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud
- Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data
- Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools
- Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster
- Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook
Bonus Skills
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
- Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
- Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies
- Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
- Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems
- Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams
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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
- 5-8+ years in a customer-facing technical role with ownership of architecture and delivery (FDE, Solutions Architect, PS Engineer, Consultant, etc.)
- Deep experience with cloud platforms (AWS, Azure, GCP) and enterprise infrastructure
- Strong expertise in Kubernetes, containers, and Linux systems
- Advanced proficiency in scripting and automation (Python, JavaScript, or similar)
- Experience designing and implementing large-scale system integrations using APIs and distributed architectures
- Strong understanding of SQL/NoSQL databases and unstructured data systems
- Solid understanding of data security, privacy, governance, and compliance concepts
- Experience with data access control, encryption, or masking within enterprise data platforms (e.g., Snowflake, Databricks, BigQuery)
- Proven ability to operate in ambiguous environments and independently drive solutions end-to-end
- Excellent communication skills, including ability to engage with executive stakeholders
- Experience with AI/ML systems, Generative AI, or RAG-based architectures
- Background in data governance, DLP, DSPM, or privacy platforms
- Familiarity with regulatory frameworks (GDPR, SOC2, ISO 27001)
- Experience with enterprise tooling ecosystems (e.g., ServiceNow, Elastic)
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.
