Sr Detection Engineer

Senior Detection Engineer The Security Operations team is hiring a Senior Detection Engineer. The Senior Detection Engineer is a hands-on individual contributor within the Security Operations organization, responsible for writing production detection logic and proving that it works. This role authors the rules, then executes the techniques those rules are meant to catch, building the tooling, sandboxes, and reusable test content required to demonstrate coverage rather than assume it. A detection is not finished when it is written. It is finished when someone has run the attack against it, confirmed it fired, confirmed it stayed quiet on benign activity, and left behind a test case that will re-confirm both after the next platform change. The work spans endpoint, identity, cloud, SaaS, network, and application telemetry. The role requires fluency in attacker tradecraft at a mechanical level: how a technique actually executes, what artifacts it produces, and which of those artifacts are reliable enough to build durable detection logic on. This position partners closely with Threat Hunting, Incident Response, and Security Engineering to ensure detection coverage is measured continuously rather than assumed. To set expectations clearly, this is a detection authoring and validation role, not a data pipeline role. Log source onboarding, parser development, and ingestion engineering are owned elsewhere. You will need to understand our telemetry well enough to know what is and is not detectable with it, and you will be expected to raise gaps when the data cannot support a detection, but building the pipes is not the job. In this role you'll be responsible for: Writing, tuning, and maintaining production detection logic across SIEM, EDR, identity, and cloud platforms, with explicit attention to fidelity and false positive cost Validating every detection by executing the technique it targets, so that no rule reaches production unproven Building and maintaining internal tooling that simulates adversary behavior on demand, making detection testing repeatable rather than manual Building reusable validation packages and automated regression testing so coverage is re-verified continuously and after every agent, platform, or configuration change Building and operating sandbox and detonation infrastructure, including disposable, instrumented environments for exploit triage, malware analysis, and safe technique development Evaluating newly published proof-of-concept exploit code to determine whether it functions, what telemetry it generates, and whether Cboe is exposed, then converting the answer into detection or hunting content Producing threat hunting validation content, including seeded artifacts, known-truth datasets, and repeatable test cases that establish whether a hypothesis is testable with the data we hold Automating the repeatable work: scheduled technique execution, telemetry collection, coverage reporting, and detection performance measurement Applying AI and LLM tooling where it measurably shortens cycle time, including agentic workflows for triage and enrichment, automated analysis of exploit and malware code, detection and test-case drafting, and hunt hypothesis generation Conducting security testing of internally built web applications and APIs, and translating findings into detection requirements as well as remediation guidance Supporting Incident Response during complex investigations with concrete attacker tradecraft insight, and closing the loop by building detections for what the investigation surfaces Documenting and handing off work so that tooling, environments, and test content can be operated by others independently