Forward Deployed Engineer

veeamsoftware; United States; Remote; USD 141,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Paid time off and parental leave

Job summary

Veeam Software is seeking a hands‑on, customer‑facing engineer to own technical outcomes for strategic deployments of a data and AI security platform. You will lead from initial rollout through long‑term operation across hybrid environments, delivering security, privacy, governance, and AI‑readiness outcomes for enterprise customers.

You will deploy across AWS/Azure/Google Cloud, private cloud, and on‑premises, build integrations, tune Kubernetes and Linux, and craft production‑grade data

Qualifications

• 4–7+ years in technical customer‑facing roles such as forward‑deployed engineering, solutions engineering, platform engineering, or technical consulting.
• Fluency in at least one programming language (Python, Go, or TypeScript).
• Hands‑on experience with Kubernetes, containers, Linux, and AWS, Azure, or Google Cloud.
• Solid grasp of APIs, SQL/NoSQL data stores, system integration, and structured/unstructured data.
• Working knowledge of data security, privacy, and regulatory concepts across industries.
• Track record of translating ambiguous security, privacy, or business needs into clear technical plans.

Responsibilities

• Own end-to-end technical outcomes for assigned customer accounts, from initial rollout through steady‑state operation.
• Deploy and configure the platform across AWS, Azure, Google Cloud, private cloud, and on‑premises environments.
• Build and maintain integrations with identity providers, data platforms, SIEM/ITSM tooling, and downstream reporting or remediation systems using APIs and SSO/SAML/OIDC.
• Configure, tune, and troubleshoot Kubernetes‑based components, containers, Linux systems, and supporting cloud infrastructure.
• Develop production‑grade solutions such as data pipelines, custom classifiers, automations, and agent‑based workflows when standard configuration is insufficient.
• Diagnose complex issues spanning data, deployment, and integration layers using observability tools and structured problem‑solving.

Skills

Python

Go

TypeScript

Tools

Kubernetes

Linux

AWS

Azure

Google Cloud

Job description

Role overview

This is a hands‑on, customer‑facing engineering position focused on technical ownership of strategic deployments of a data and AI security platform. The role spans first deployment through scaled, long‑term operation across complex hybrid environments, helping enterprise customers achieve security, privacy, governance, and AI‑readiness outcomes.

Responsibilities

• Own end-to-end technical outcomes for assigned customer accounts, from initial rollout through steady‑state operation
• Deploy and configure the platform across AWS, Azure, Google Cloud, private cloud, and on‑premises environments
• Build and maintain integrations with identity providers, data platforms, SIEM/ITSM tooling, and downstream reporting or remediation systems using APIs and SSO/SAML/OIDC
• Configure, tune, and troubleshoot Kubernetes‑based components, containers, Linux systems, and supporting cloud infrastructure
• Develop production‑grade solutions such as data pipelines, custom classifiers, automations, and agent‑based workflows when standard configuration is insufficient
• Diagnose complex issues spanning data, deployment, and integration layers using observability tools and structured problem‑solving

Requirements

• 4–7+ years in technical customer‑facing roles such as forward‑deployed engineering, solutions engineering, platform engineering, or technical consulting
• Fluency in at least one programming language (Python, Go, or TypeScript)
• Hands‑on experience with Kubernetes, containers, Linux, and AWS, Azure, or Google Cloud
• Solid grasp of APIs, SQL/NoSQL data stores, system integration, and structured/unstructured data
• Working knowledge of data security, privacy, and regulatory concepts across industries
• Track record of translating ambiguous security, privacy, or business needs into clear technical plans

Nice to have

• Background in DSPM, CSPM, DLP, data governance, or privacy platforms
• Experience using AI‑native developer tools and agents to accelerate delivery

Benefits and work setup

• Compensation range of $140,900–$234,800 USD (TTC/OTE)
• Medical, dental, and vision coverage from day one, plus mental health and Employee Assistance resources
• 401(k) with company match, tax‑advantaged healthcare, dependent care, and commuting accounts
• Generous paid time off, paid parental leave (8 weeks for all parents, 16 for birthing parents), and dedicated wellness days
• Fertility, adoption, and surrogacy support; 24/7 virtual veterinary care; legal and identity protection
• Learning budget including on‑demand libraries, mentoring, workshops, and an annual learning event