CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do

As a Staff Detection & Response Engineer & Team Lead at CoreWeave, you will drive the strategic vision, technical architecture, and execution of our threat detection and response capabilities across cutting-edge AI infrastructure. You will operate as both a high-impact individual contributor and a technical leader, guiding a team of engineers to build scalable, automated, and resilient detection systems.

As a team lead and staff-level engineer, you will:

Lead, mentor, and empower a team of detection engineers, fostering technical excellence, continuous growth, and an inclusive engineering culture.
Architect and steer long-term detection strategies at massive scale, establishing technical standards and operational best practices across the organization.
Drive cross-functional technical strategy, aligning detection engineering initiatives with broader security, infrastructure, and enterprise AI goals.

Core Responsibilities:

Detection-as-Code & Architecture: Design and build resilient, automated Detection-as-Code pipelines, maintaining high-fidelity detection logic, CI/CD testing frameworks, and continuous coverage validation.
Data Ingestion & Security Data Lakes: Partner with Security and Data Science to deliver scalable log ingestion pipelines and security data lake infrastructure to aggregate, parse, and analyze multi-cloud and Kubernetes telemetry at petabyte scale.
AI & LLM Integration: Innovate and integrate AI/LLM-driven analytics and automated triage workflows to enhance threat intelligence, anomaly detection, and incident response speed.
Systemic Risk Remediation: Partner with infrastructure and product teams to identify root-cause vulnerabilities, automate incident response playbooks, and systematically eliminate recurring security risks.
Technical Leadership & Influence: Provide mentorship and technical leadership across teams, setting a high bar for engineering standards, driving post-incident reviews, and representing detection strategy to leadership.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

Proven experience in a Staff-level or Technical Lead capacity, guiding engineering teams and defining multi-year detection strategies.
Demonstrated track record of implementing Detection-as-Code paradigms, automated CI/CD security pipelines, and detection engineering frameworks.
Extensive experience designing, and utilizing security data lakes and distributed log ingestion pipelines for high-throughput cloud environments.
Deep domain expertise in Linux internals, Kubernetes runtime security (eBPF, Falco), and cloud-native container security.
Proficiency in software development and query languages (Python, Go, SQL, KQL, etc.) to build tooling and automated remediation engines.
Strong leadership skills with a passion for mentoring junior/mid-level engineers and establishing strong engineering practices.

Preferred Qualifications

Experience applying AI, machine learning, or LLMs to detection engineering, threat intelligence synthesis, or automated incident triage.
Active open-source security contributions or public technical research in threat detection, Kubernetes security, or cloud defense.
Prior leadership or team lead experience in high-growth cloud or AI hyperscaler environments.