{"id":2527725,"url":"https://alion.io/job/linkedin-staff-information-security-engineer-detection-engineering-2","title":"Staff Information Security Engineer - Detection Engineering","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Security","role_family":"Security","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":156000,"max":255000,"currency":"USD","period":"year","gross":null,"usd_annual":255000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"MITRE ATT&CK","optional":false},{"name":"Python","optional":false},{"name":"SIEM","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Linux","optional":true},{"name":"Okta","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-08-28T17:33:30Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-14T15:58:32Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"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.\nJoin us to transform the way the world works.\n At LinkedIn, 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 LinkedIn, hybrid roles are performed both from home and from a LinkedIn 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.\nThis role can be remote anywhere in the United States or can be hybrid in LinkedIn’s Mountain View office location.\nAbout the Team\nLinkedIn’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.\nThe Detection Engineering team sits at the center of LinkedIn’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 LinkedIn’s ability to detect, investigate, and respond to evolving threats with speed and precision.\nAbout the role\nAs a Staff Security Engineer on the Detection Engineering team, you will define and drive LinkedIn’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.\nYou 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.\nResponsibilities\nDefine detection strategy and roadmap; drive coverage across priority threat scenarios and emerging attacks relevant to LinkedIn\n\nPartner with IR/Threat Intel/Cloud/IAM to turn hypotheses and TTPs into production detections; lead purple-team validation.\n\nDesign detections-as-code with version control, CI/CD, unit/integration tests, and staged rollouts.\n\nLead adversary emulation exercises to validate detection coverage; develop synthetic signal and test harnesses.\n\nProactive threat hunting to discover unknown attacker activity; design hunt playbooks and convert findings into detections.\n\nBuild IR automation (SOAR/Logic Apps) to orchestrate triage, enrichment, containment, and case workflow.\n\nOperationalize threat intelligence: ingest/normalize IOCs/TTPs, enrich detections with TI context, and collaborate with TI to turn reports into testable hypotheses.\n\nBuild and maintain a SIGMA-based detection content library; translate SIGMA to KQL/SQL where applicable.\n\nOwn telemetry quality: schemas, enrichment, normalization, and data reliability SLIs/SLOs.\n\nEstablish and monitor detection quality metrics (signal-to-noise ratio, precision/recall, false-positive rate, alert latency, lift); drive continuous tuning.\n\nLead incident retros to add resilient post-incident detections and suppress noisy patterns.\n\nMentor engineers; establish standards, code reviews, and guidance for detection engineering best practices.\n\nParticipate in on-call for critical detection pipelines and high-severity investigations.\n\n Basic Qualifications\nBA/BS Degree in CyberSecurity, Information Security, Computer Science or related technical discipline, or related practical experience.\n\n5+ years in security engineering, detection engineering, or incident response\n\n2+ years technical leadership.\n\nExpertise with log analytics and detection content for SIEM/XDR/EDR and cloud provider telemetry (AWS/Azure/GCP).\n\nExperience building detections and automation with scripting languages (e.g., Python) and query languages (e.g., KQL/SQL)\n\nExperience building detections-as-code (tests, CI/CD, canary deploys, rollback) at large scale.\n\nExperience with attacker TTPs and frameworks (ATT&CK) and detection efficacy metrics.\n\nExperience designing schemas and data models (e.g., ASIM/OSSEM-like) and telemetry pipelines.\n\nExperience with SIGMA rule authoring and translation; adversary emulation/purple-team experience.\n\nPreferred qualifications\nBS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.\n\n8+ years of experience in detection engineering, with 3+ years of experience in a technical leadership role\n\nRigorous approach to detection quality (SNR, precision/recall, false-positive rate, latency) and measurement.\n\nExperience operating detections over billions of events/day and multi-region data pipelines.\n\nBuilding detection testing harnesses, synthetic signal, and adversary emulation at scale.\n\nFamiliarity with identity/security signals (AAD/Okta/SSO), endpoint internals (Windows/Linux/macOS), and SaaS logs.\n\nApplied analytics/ML for anomaly detection, risk scoring, or enrichment (with robust evaluation).\n\nExperience building hypotheses and content for AI-enabled attack patterns; practical use of AI to improve detection engineering workflows.\n\nRelevant certifications (e.g., GCTI, GCDA, GCFA, GIAC-blue); publications or open-source contributions in detections.\n\nSuggested Skills:\nDetection Engineering\n\nTechnical Leadership\n\nKQL/SQL\n\nDetection-as-code\n\nYou will Benefit from our Culture\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices.\nThe pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.\nThe total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.\n Equal Opportunity Statement\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.\nLinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.\nIf you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.\nLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.","description_format":"text","description_chars":10686,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-10-14T12:24:37Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.58,"p_room":0.36,"age_days":46,"expected_fill_days":26,"reasons":["conf:0","win:tail","crowd:brand"],"computed_at":"2026-10-14T16:54:51Z"},"pay":{"stated_usd_annual":255000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-staff-information-security-engineer-detection-engineering-2","json_url":"https://alion.io/job/linkedin-staff-information-security-engineer-detection-engineering-2.json","meta":{"generated_at":"2026-10-14T16:54:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21471,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13163},"rest":"https://alion.io/mcp/rest/get_company?id=13163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flinkedin-staff-information-security-engineer-detection-engineering-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flinkedin-staff-information-security-engineer-detection-engineering-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flinkedin-staff-information-security-engineer-detection-engineering-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/linkedin-staff-information-security-engineer-detection-engineering-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-staff-information-security-engineer-detection-engineering-2"}]}