Forward Deployed Engineer

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

• 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

• 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. Compensation Range (TTC / OTE) $167,400-$310,900 USD

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.