Senior Security Engineer, CoreWeave

• 7+ years of relevant experience with demonstrated impact in vulnerability management, application security, platform security, or cloud security engineering
• Proven hands-on experience building security automation (SOAR workflows, detection pipelines, or vulnerability prioritization frameworks)
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, exploit intelligence, and compensating controls
• Strong development background with proficiency in Python, Go, or similar languages for building production-grade security tools
• Experience with modern vulnerability management tooling such as Wiz, Semgrep, Rapid7, or similar platforms
• Demonstrated ability to partner with cross-functional teams (IT, SRE, Engineering) to drive remediation without formal authority
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and business impact
• Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
• You love to:
• Architect and build security systems with full ownership, not just maintain existing tools
• Drive cross-functional initiatives and influence without formal authority
• Mentor engineers and see your automation multiply team impact
• You're curious about:
• How to apply AI/ML to vulnerability management at cloud scale
• The intersection of hardware security and cloud infrastructure
• What makes security automation that engineering teams actually adopt
• You're an expert in:
• Risk-based vulnerability prioritization and threat modeling
• Building production-grade security automation (SOAR, detection pipelines)
• Balancing security rigor with business velocity

Desirable

• We are seeking a Senior Security Engineer to build the Vulnerability Management program protecting CoreWeave's AI infrastructure. You will architect intelligent automation systems that defend the GPU clusters powering breakthrough AI research and enterprise AI applications
• You'll solve security problems at the intersection of cloud-scale infrastructure and specialized hardware—from GPU firmware vulnerabilities to AI-powered threat detection
• This role combines technical depth, strategic thinking, and the autonomy to design workflows that will protect infrastructure driving the future of AI
• Build and scale AI-powered triage workflows: evaluate tools (LLM integration, TINES orchestration), architect solutions, and deploy to production
• Drive intelligent, risk-based vulnerability prioritization while simultaneously training AI models—your assessments become the foundation for automation
• Influence automation priorities: recommend which areas of the vulnerability pipeline would most benefit from automation to improve team efficiency
• Design and implement automated detection-to-ticket pipelines: build workflows that generate vulnerability detections, test them, scale across the environment, and auto-create Jira tickets
• Execute remediation campaigns: build automated workflows for EOL product removal, vulnerable software upgrades, and OS migrations at scale
• Manage embargoed vendor disclosures from hardware partners, including embargo verification and zero-day response coordination
• Lead security incident investigations related to high-profile vulnerabilities, coordinating cross-functional response and impact assessment
• Participate in on-call rotation for rapid-response vulnerability analysis during active zero-day events or critical security incidents
• Partner with IT, Infrastructure, and Engineering teams to drive remediation efforts, enforce SLAs, and escalate blockers strategically
• Write daily operations reports documenting vulnerability trends, remediation velocity, and emerging threats for security leadership
• Drive process improvements and workflow automation to improve operational efficiency and reduce manual toil