Lead Domain Engineering Specialist

🕒 Junho 23

🏄 California – Remoto

🏄 California – Remote

💵 $149.600 - $277.700 / ano

⏰ Tempo Integral

🟠 Sênior

🖥 Engenheiro de Software

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Veeam Software

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

💼 Consultoria

📦 Logística

☁️ SaaS

💰 $500.000.000 Private Equity Round em 2019-01

Consulting • Logistics • SaaS

A Veeam Software é líder global em resiliência e proteção de dados, oferecendo software de proteção de dados autogerenciável para ambientes híbridos e multi-cloud. Sua Veeam Data Platform oferece soluções abrangentes para backup, recuperação e segurança de dados, com princípios de confiança zero e ferramentas impulsionadas por inteligência artificial para inteligência de dados. As ofertas da Veeam incluem serviços de backup e armazenamento seguros para plataformas como Microsoft 365, AWS e Google Cloud, suportando cargas de trabalho diversas, incluindo ambientes virtuais, físicos e SaaS. Com uma reputação de inovação e confiança do cliente, a Veeam atende a uma ampla gama de indústrias, garantindo resiliência de dados contra interrupções, como ataques de ransomware. Suas soluções permitem que as empresas alcancem liberdade de dados, armazenamento seguro e gestão eficiente, reforçando sua posição como um dos principais fornecedores de software de backup e recuperação empresarial em todo o mundo.

Descrição

• 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

🎯 Requisitos

• 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).

🏖️ Benefícios

• 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