xelys jobs xelys jobs

Lead Domain Engineering Specialist

Veeam

full-remoteleadpermanentbackend Full remote 81 days ago via WTTJ

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

CybersecurityData SecurityAI GovernanceData ModelingMaturity ModelingTelemetry MonitoringAI SecurityPrompt InjectionDLPDSPM

About the role

Role overview

Join Veeam as a Lead Domain Engineering Specialist partnering with Customer Success Engineers and Account Executives to drive customer security outcomes across the Veeam Data Platform. You will work with CISO/CIO stakeholders to assess readiness, model data, and guide risk discussions tied to data resilience.

Key responsibilities

  • Collaborate with Customer Success and Account teams to improve customer security results.
  • Lead readiness checks, data modeling, and risk conversations with stakeholders.
  • Engage customers on Veeam platform security products, architectures, and risk topics.
  • Monitor telemetry and maturity using the Veeam Data Resilience Maturity Model.

Requirements

  • Strong technical understanding of Veeam products.
  • Experience engaging CISO/CIO/CDO stakeholders on AI risk, data governance, resilience, and enterprise AI adoption.
  • Hands-on experience in solution design, POCs, and maturity modeling (DRMM or similar maturity models a plus).
  • Familiarity with AI governance frameworks and regulatory landscapes, e.g. NIST AI RMF, EU AI Act, and ISO standards.
  • Hands-on experience with AI security/governance and emerging AI platforms (e.g., Securiti AI or similar such as AI-SPM, privacy automation, model governance, AI risk management frameworks).
  • Experience with AI/data observability, telemetry, and monitoring for traditional and AI workloads.
  • Working knowledge of AI/ML architectures and model lifecycles including training pipelines, deployment/inference controls, and security risks (prompt injection, data leakage, adversarial inputs).
  • 5+ years engineering/architecting experience in cybersecurity, data security, or AI/ML-driven platforms.
  • Deep expertise in data security and governance, including DSPM and DLP, securing data across cloud, SaaS, and hybrid environments.
  • Strong communication and stakeholder management; ability to translate complex AI/security concepts into business outcomes.
  • Bachelor’s degree in a technical field (CS/EE/Data Science or related); advanced degree preferred.

Certifications / nice-to-haves

  • VMCE certification (can be completed after joining).
  • Relevant security certifications such as CompTIA Security+, CISSP, CISM (or equivalent).
  • AI security/governance/privacy/data governance certifications are strongly preferred.

About Veeam

Veeam provides data resilience and backup/restore solutions, along with a broader data platform for protecting and managing business-critical data. The company focuses on security- and resilience-related capabilities that help organizations withstand disruptions and improve operational readiness.

Scraped 7/4/2026