$ cat jobs/staff-information-security-engineer-detection-engineering-linkedin3-3fb2339fd648.json
Staff Information Security Engineer - Detection Engineering
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be hybrid in LinkedIn’s Mountain View office location. About the Team LinkedIn’s Information Security organization protects our members, data, and infrastructure by building robust defenses, detecting attacker activity early, and partnering across engineering to reduce risk. The Detection Engineering team within InfoSec automates identification and contextualization of attacker activities at LinkedIn and partners across Incident Response, Threat Intel, Red/Purple Team, Product Security, IAM, and Cloud to develop and maintain high-quality detections. The team also supports log ingestion, schema design and normalization, incident support, tooling and automation, threat hunting, and audit assistance. About the role As a Staff Security Engineer in Detection Engineering, you will architect, build, and operate high-signal detections across endpoint, identity, cloud, and SaaS. You’ll drive strategy and technical design through hands-on implementations—detections-as-code, telemetry modeling, and rigorous efficacy metrics (signal-to-noise, precision/recall, latency). You’ll lead purple-team valid