Lead Forward Deployed Engineer

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 role will be 3 days in office at our San Jose, CA office! ✨

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

*This role will be 3 days in office at our San Jose, CA location! *

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