Staff Security Engineer
Veeam Software
$289,320 - $537,360 / year
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Description
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the worldâs biggest brands.
About the Role
Veeam VDC Security Engineering builds and operates the security platform for a multi-cloud (Azure and AWS) SaaS serving regulated industries. This role sits in Security Engineering and helps drive security as a discipline. You will design and operate detection systems that identify threats across our infrastructure, lead response efforts to investigate and remediate security incidents at scale, and drive the vulnerability management program to reduce risk systematically.
What Youâll Do
- Design and deploy detection rules and analytics across VDC's cloud infrastructure, leveraging SIEM platforms, log aggregation, and behavioral analysis to identify suspicious activity in real-time
- Build and operationalize incident response runbooks that automate triage, containment, and remediation workflows while maintaining audit trails for compliance
- Develop correlation and detection logic that surfaces real security threats with a low false-positive rate, enabling fast investigation and response without alert fatigue
- Own and evolve VDC's vulnerability management program, including scanner integration, severity classification, SLA enforcement, and remediation tracking across infrastructure and applications
- Partner with engineering teams to integrate security telemetry, detection hooks, and vulnerability scanning into applications and infrastructure, creating visibility into attack surfaces and threat indicators
- Partner with Compliance to ensure detection systems, incident response procedures, and vulnerability tracking generate auditor-facing evidence that holds up under regulatory review (SOC 2 Type 2, ISO 27001, FedRAMP, HITRUST)
- Lead threat hunting initiatives to proactively identify compromises, lateral movement, and persistence mechanisms within VDC's environment
- Establish and evolve incident response procedures, playbooks, and vulnerability remediation processes across VDC teams, including containment strategies, communication protocols, and post-incident reviews
Technologies Youâll Work With
- Microsoft Sentinel and Log Analytics for SIEM, detection rule development, and incident investigation
- Azure security services (Azure Defender, Microsoft Defender for Cloud) and AWS security tools (GuardDuty, Security Hub, CloudTrail)
- Vulnerability scanning and management tools (Qualys, Tenable, Wiz, or equivalent) for asset inventory and risk quantification
- Endpoint detection and response (EDR) platforms and host-based threat monitoring
- Cloud audit logs, VPC Flow Logs, and DNS query logs for network-layer threat detection
- Python and PowerShell for automation, data processing, and custom detection logic
- GitHub Actions and Azure DevOps for CI/CD security integration, automated response actions, and remediation workflows
- Incident tracking and ticketing systems for case management and post-incident reporting
What Youâll Bring
- 8+ years in security operations, threat detection, incident response, or vulnerability management, with recent hands-on experience investigating and responding to security incidents
- Proven ability to build detection rules and analytics that effectively identify real threats while maintaining acceptable false-positive rates
- Experience designing and implementing incident response workflows, including triage criteria, escalation procedures, and containment strategies
- Track record of building and operationalizing vulnerability management programs, including scanner tuning, prioritization frameworks, and remediation SLA enforcement
- Strong cloud security fundamentals across Azure and AWS: understanding of attack paths, misconfiguration risks, data exfiltration vectors, and network segmentation
- Track record of operationalizing security toolsâturning ad-hoc threat hunting and vulnerability remediation into repeatable mechanisms (detection-as-code, automated playbooks, approval gates)
- Hands-on experience with SIEM platforms (Sentinel, Splunk, or equivalent) for log analysis, correlation, and alerting
- Hands-on experience with vulnerability scanners and asset management platforms for tracking and prioritizing risk
- Comfort building automation and response tooling in Python and PowerShell
- Familiarity with regulated-industry security requirements and how detection/response/vulnerability procedures generate compliant evidence
- Understanding of common attack techniques (lateral movement, privilege escalation, data exfiltration, persistence) and how to detect and prevent them
- Demonstrable track record of shipping production code or security automation (code portfolio, open-source contributions, or internal build history). This is a hands-on building role, not an advisory one
Bonus Skills
- Experience with threat intelligence integration and using indicators of compromise (IoCs) to drive detections
- Background in traditional incident response or forensics that translates to cloud-native environments
- Contributions to open-source security projects (Sigma rules, detection frameworks, forensic tools, vulnerability data)
- Prior work with Azure Sentinel enterprise deployments and advanced analytics
- Experience tuning detection and vulnerability management systems in high-volume environments without creating merge-blocking bottlenecks or alert fatigue
- Familiarity with attack frameworks (MITRE ATT&CK) and their application to threat modeling, detection strategy, and vulnerability prioritization
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What you'll get
- 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, OâReilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Pay Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.Â
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
Benefits
- health insurance
- vision insurance
- 401(k)
- paid time off
- parental leave
About this role
Veeam is building the security infrastructure for AI at scale, and this role puts you at the center of that effort. You'd join the Platform Security team in San Jose as a Staff AI Security Engineer, designing and shipping the data controls, redaction pipelines, and threat models that let VDCâa multi-cloud SaaS for regulated industriesâuse large language models safely and defensively. The work spans both internal tooling and product features: you'll build guardrails to keep sensitive data out of third-party model APIs, productionize an AI-enhanced vulnerability finder that integrates into CI/CD with minimal false positives, and establish reusable secure-LLM patterns that other engineering teams can self-serve.
This is hands-on building, not advisory work. You'll threat-model prompt injection and indirect attack surfaces, partner with the red team on findings, collaborate with Compliance on auditor-facing evidence for AI-assisted controls, and help set VDC's direction on which LLM security tools to adopt or build in-house. The tech stack includes Azure OpenAI Service, Anthropic Claude, Presidio for PII detection, Cycode and Wiz for signal fusion, and Python and Go for the security tooling itself. You'll need 10+ years spanning security and engineering with recent production experience in LLM deployments or AI-driven security tooling, hands-on shipping of LLM input/output controls, and a proven ability to take AI security work from concept to production while managing developer trust and false-positive rates.
The role suits someone who has built detection systems for secrets and PII at scale, understands regulated-industry compliance expectations (SOC 2, FedRAMP, HITRUST), and can turn ad-hoc safety questions into self-service mechanisms. You'll work in-office in San Jose with unlimited PTO, 12 paid holidays, parental leave, and mental health support included.
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Pay for this role
$289,320 to $537,360 per year
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