Lead Domain Engineering Specialist

🕒 il y a 1 mois

🏄 California – Distant

🏄 California – Remote

💵 $149 600 - $277 700 / an

⏰ Temps Plein

🟠 Senior

🖥 Ingénieur Logiciel

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Veeam Software

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2006

💼 Conseil

📦 Logistique

☁️ SaaS

💰 €500 000 000 Private Equity Round en 2019-01

Consulting • Logistics • SaaS

Veeam Software est un leader mondial de la résilience et de la protection des données, proposant un logiciel de protection des données autogéré pour les environnements cloud hybrides et multi-cloud. La Veeam Data Platform offre des solutions complètes de sauvegarde, de restauration et de sécurité des données, intégrant les principes Zero Trust et des outils d’IA pour l’intelligence des données. L’offre de Veeam comprend des services de sauvegarde et de stockage sécurisés pour des plateformes telles que Microsoft 365, AWS et Google Cloud, prenant en charge des charges de travail variées, notamment des environnements virtuels, physiques et SaaS. Réputé pour son innovation et la confiance de ses clients, Veeam accompagne un large éventail d’industries, garantissant la résilience des données face aux perturbations telles que les attaques par rançongiciel. Ses solutions permettent aux entreprises de bénéficier de la liberté des données, d’un stockage sécurisé et d’une gestion efficace, renforçant sa position de fournisseur de référence de logiciels de sauvegarde et de restauration pour l’entreprise à l’échelle mondiale.

Description

• Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP). • Run readiness checks and lead data modeling to validate solution design and accelerate decisions. • Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks. • Validate designs to de-risk adoption and accelerate time to value. • Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination). • Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs. • Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts. • Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio. • Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals

🎯 Exigences

• 5+ years of experience in engineering or architecting cybersecurity, data security, or AI/ML-driven platforms (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer, AI Security Engineer). • Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field; advanced degree preferred. • Relevant certifications (e.g., CompTIA Security+, CISSP, CISM, or equivalent); AI security or governance-related certifications (e.g., AI/ML, privacy, or data governance) are strongly preferred. • Deep expertise in data security and governance, including DSPM and DLP, with demonstrated experience securing data across cloud, SaaS, and hybrid environments. • Hands-on experience with AI security, governance, or emerging AI platforms, including Securiti AI or similar solutions (e.g., AI-SPM, data privacy automation, model governance, or AI risk management frameworks). • Working knowledge of AI/ML architectures and model lifecycles, including training data pipelines, model deployment, inference controls, and associated security risks (e.g., prompt injection, data leakage, adversarial inputs). • Experience with AI/data observability, telemetry, and monitoring across both traditional systems and AI-driven workloads. • Demonstrated ability to engage CISO/CIO/CDO stakeholders on AI risk, data governance, resilience, and enterprise AI adoption strategies. • Hands-on experience with solution design, POCs, and maturity modeling (experience with DRMM or data/AI trust maturity models is a plus). • Familiarity with AI governance frameworks and regulatory landscapes (e.g., NIST AI RMF, EU AI Act, ISO standards) and applying them to enterprise architectures • Strong communication, stakeholder management, and cross-functional collaboration skills, with the ability to translate complex AI/security concepts into actionable business outcomes. • VMCE certification (can be completed after joining).

🏖️ Avantages

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents • Medical, dental, and vision coverage starting on your first day • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program • 401(k) retirement plan with company matching contributions • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time • AirVet: 24/7 virtual veterinary care at no cost • Legal services, identity protection, and supplemental health insurance options • Tax-advantaged spending accounts for healthcare, dependent care, and commuting • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning