Forward Deployed Engineer: AI, Data Security & Integrations

Veeam; San Jose (CA); Hybrid; USD 141,000 - 235,000; Full time

Benefits offered by this job

Unlimited PTO

Holidays & VeeaMe Days

Volunteer hours

Parental leave

Health coverage

Mental health support

401(k) match

Fertility & adoption support

AirVet

Job summary

Veeam is seeking a Forward Deployed Engineer to own strategic customer deployments of the Securiti AI platform within Veeam. You will deploy, integrate, and scale the platform across cloud, hybrid, and on‑prem environments, turning complex data and AI scenarios into clear security, privacy, governance, and AI readiness outcomes.

This hands-on role involves building integrations, automations, and troubleshooting, with a focus on Kubernetes, Linux, and API-driven workflows.

Qualifications

• 4–7+ years in technical, customer-facing roles such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting.
• Strong software engineering skills, with fluency in Python, Go, or TypeScript.
• Hands-on experience with Kubernetes, containers, Linux, and cloud platforms (AWS, Azure, Google Cloud).
• Experience building integrations, data pipelines, classifiers, automations, or internal tools.
• Ability to read unfamiliar code, understand running systems quickly, and guide targeted changes.

Responsibilities

• 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.
• This role will be 3 days in office at our San Jose, CA office!

Skills

Python

Go

TypeScript

Kubernetes

Linux

APIs

Cloud

Tools

Docker

CI/CD

Snowflake

Databricks

BigQuery

SSO/SAML/OIDC

Job description

Veeam is seeking a Forward Deployed Engineer to own strategic customer deployments of the Securiti AI platform within Veeam. You will deploy, integrate, and scale the platform across cloud, hybrid, and on‑prem environments, turning complex data and AI scenarios into clear security, privacy, governance, and AI readiness outcomes.

This hands-on role involves building integrations, automations, and troubleshooting, with a focus on Kubernetes, Linux, and API-driven workflows.