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Information Security Engineer - Detection Engineering

Remote / Online - Candidates ideally in
Kansas City, Wyandotte County, Kansas, 66115, USA
Listing for: LinkedIn
Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 156000 - 255000 USD Yearly USD 156000.00 255000.00 YEAR
Job Description & How to Apply Below
Position: Staff Information Security Engineer - Detection Engineering

Linked In 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 Linked In, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At Linked In, hybrid roles are performed both from home and from a Linked In office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.

This role can be remote anywhere in the United States or can be hybrid in Linked In’s Mountain View office location.

About the Team

Linked In’s Information Security organization protects our members, data, and platforms by building resilient security controls, detecting threats early, and partnering across engineering to reduce risk at scale.

The Detection Engineering team sits at the center of Linked In’s threat detection ecosystem. We partner closely with Incident Response, Threat Intelligence, Red and Purple Teams, Product Security, Identity & Access Management, and Cloud Security to identify, contextualize, and detect adversary activity across the enterprise. Beyond developing and maintaining high-fidelity detections, we drive the security telemetry strategy through log onboarding, schema design and normalization, automation, threat hunting, incident response support, and audit enablement.

Our mission is to continuously improve Linked In’s ability to detect, investigate, and respond to evolving threats with speed and precision.

About the role

As a Staff Security Engineer on the Detection Engineering team, you will define and drive Linked In’s detection strategy across endpoint, identity, cloud, and SaaS environments. You will architect, build, and operate high-signal detection capabilities using modern detections-as-code practices, telemetry modeling, and data-driven effectiveness measures, including precision, recall, signal-to-noise ratio, and detection latency.

You will work from adversary tactics, techniques, and procedures (TTPs) to design resilient detection coverage, partnering with Red and Purple Teams to validate effectiveness through adversary emulation and attack simulation. As a technical leader, you will establish engineering standards, influence security architecture, mentor fellow engineers through design and code reviews, and drive strategic investments that improve detection fidelity, scalability, and operational efficiency.

This is a hands-on staff-level role focused on technical leadership, architecture, and execution.

Responsibilities
  • Define detection strategy and roadmap; drive coverage across priority threat scenarios and emerging attacks relevant to Linked In
  • Partner with IR/Threat Intel/Cloud/IAM to turn hypotheses and TTPs into production detections; lead purple-team validation.
  • Design detections-as-code with version control, CI/CD, unit/integration tests, and staged rollouts.
  • Lead adversary emulation exercises to validate detection coverage; develop synthetic signal and test harnesses.
  • Proactive threat hunting to discover unknown attacker activity; design hunt playbooks and convert findings into detections.
  • Build IR…
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