
1001 - 5000 employees
Founded 2006
💼 Consulting
📦 Logistics
☁️ SaaS
💰 $500M Private Equity Round on 2019-01
Consulting • Logistics • SaaS
Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.
🔥 0 minutes ago
🏄 California – Remote
⏰ Full Time
🔴 Lead
👮♂️ Cybersecurity / Security Engineer
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1001 - 5000 employees
Founded 2006
💼 Consulting
📦 Logistics
☁️ SaaS
💰 $500M Private Equity Round on 2019-01
Consulting • Logistics • SaaS
Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.
• Design and ship data-handling controls, code, filters, and infrastructure guardrails for internal AI tooling and product AI features • Redact sensitive data from prompts, model context, logs, and outputs before third-party model-provider access • Build and productionize AI-enhanced vulnerability reduction integrated with CI/CD • Surface real security defects with low false-positive rates and recommend or apply remediation • Publish and evolve self-serve secure-LLM-use patterns for engineering teams • Threat-model internal AI tools for prompt injection, indirect prompt attacks, model exfiltration, and agent-tool boundary weaknesses • Partner with the red team to address findings and build fixes and guardrails • Partner with Compliance on auditor-facing evidence for AI-assisted controls and human-review requirements • Contribute AI-security expertise to vulnerability management, supply-chain risk reduction, code-owner routing, and compliance evidence programs • Set direction on emerging LLM security tools and AI-forward workflows, deciding what to adopt, skip, or build in-house
• 10+ years across security and engineering, with recent focus on AI/ML systems in production • Hands-on experience shipping controls operating on LLM inputs and outputs, including redaction, filtering, output validation, and prompt-injection defense • Experience building and tuning detection systems for PII and secrets across large, messy datasets • Ability to choose between regex rules, trained classifiers, and LLM detection based on cost, latency, and accuracy • Track record of taking AI/security work from concept to production, including developer-trust and false-positive management • Strong cloud security fundamentals across Azure and AWS, including RBAC, secret management, key handling, and network egress controls • Ability to turn LLM safety questions into reusable mechanisms such as PR-template scoring rubrics, lint rules, or approval gates • Comfort building and hardening security tooling in Python and Go • Familiarity with SOC 2 Type 2, ISO 27001, FedRAMP, and HITRUST evidentiary expectations • Hands-on experience with agentic AI development environments such as Claude Code, Cursor, and GitHub Copilot Enterprise • Demonstrable track record of shipping production code through a portfolio, open-source contributions, or internal build history • Familiarity with LLM attack techniques, traditional AppSec or SAST, Azure OpenAI enterprise data-handling controls, LLM governance patterns, and developer-workflow security-tool integration are bonus skills
• Unlimited paid time off • 12 paid holidays, including 4 global VeeaMe Days for self-care • 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 the Employee Assistance Program • 401(k) retirement plan with company matching contributions • Fertility, adoption, and surrogacy support through Maven • 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 • Learning and growth opportunities through LinkedIn Learning, O’Reilly, mentoring, workshops, and Global Day of Learning
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