Senior Data & AI Security Platform 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

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