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 Forward Deployed Engineer, you will be the technical owner for strategic customer deployments of the Securiti AI platform within Veeam. You will work directly with customers to deploy, integrate, and scale the platform across complex cloud, hybrid, and on-premises environments.

You will help customers turn complex data and AI environments into clear security, privacy, governance, and AI readiness outcomes. This is a hands-on engineering role where you will build integrations, automate workflows, troubleshoot issues, and adapt the platform to fit real customer needs.

What You'll Do

Own the technical outcome for customer accounts, from first deployment through scaled, everyday use

Deploy and configure the platform across hybrid environments, including AWS, Azure, Google Cloud, private cloud, and on-premises systems

Connect the platform to customer data systems, identity providers, reporting tools, and business workflows

Configure, tune, and troubleshoot core deployment components, including Kubernetes, containers, Linux, and cloud infrastructure

Build and operate integrations using APIs, including SSO/SAML/OIDC, SIEM, ITSM, data platforms, and downstream reporting or remediation systems

Translate customer goals into technical plans that support data discovery, classification, governance, privacy, and AI security outcomes

Adapt platform behavior when standard configuration does not fully match the customer’s data, risk model, or operating process

Build production-grade solutions, including data pipelines, custom classifiers, automations, integrations, and agent-based workflows

Use AI-native tools and agents to automate repeatable work, improve delivery quality, and increase your impact

Diagnose complex issues across data, deployment, and integration layers using observability tools and structured problem-solving

Lead technical sessions with customer teams; partner with Sales Engineering, Product, and Engineering to support POCs, resolve issues, and share field learnings

What You'll Bring

4–7+ years of experience in technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting

Strong software engineering skills, with fluency in at least one programming language such as Python, Go, or TypeScript

Experience building and shipping practical technical solutions, such as scripts, integrations, data pipelines, classifiers, automations, or internal tools

Ability to read unfamiliar code, understand running systems quickly, and guide targeted changes when needed

Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud

Experience working across hybrid environments, including cloud, private cloud, and on-premises systems

Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data