Principal Threat Hunting and Emulation Engineer - InfoSec
Lead · США · Английский B2
Не указано: формат работы
Навыки
AWS
Azure
CI/CD
Коммуникация
Elasticsearch
ELK / Elastic Stack
Форензика и реагирование
Ещё 7
Google Cloud
GitHub Actions
Machine Learning
Мониторинг и observability
Пентест
SASS / LESS
YARA / threat intelligence
О компании и продукте
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role
Задачи
Lead structured, hypothesis-driven threat hunting operations across Elastic’s cloud, SaaS, endpoint, and CI/CD environments using frameworks such as PEAK, TaHiTI, or equivalent
Develop and maintain a threat hunting program at scale
Defining hunt hypotheses based on threat intelligence, ATT&CK mappings, and environmental risk profiles
Design and execute adversary emulation exercises and purple team engagements to validate detection pipelines, identify coverage gaps, and simulate real-world threat actor TTPs
Build and maintain a threat emulation library of reusable attack simulations, leveraging tools such as Atomic Red Team, Caldera, Scythe, or custom-developed tooling
Leverage AI and machine learning capabilities to accelerate hypothesis generation, anomaly detection, and the analysis of large, complex datasets during hunts
Translate hunt findings into production-ready detections, collaborating closely with Detection Engineering to ensure durable coverage
Document and codify hunt methodologies, playbooks, and emulation plans so that findings are repeatable, reviewable, and transferable
Partner with Threat Intelligence to inform hunt hypotheses based on emerging adversary campaigns, newly disclosed vulnerabilities, and sector-specific threat profiles
Identify visibility gaps exposed through hunting and emulation, and collaborate with Security Engineering to onboard the log sources needed to close them
Support incident response activities by applying hunting skills to accelerate investigation, scope incidents, and identify attacker dwell time or lateral movement
Contribute to the broader security community through blog posts, conference talks, open-source tooling, and other public knowledge sharing
This is not a reactive role—you will lead structured, hypothesis-driven hunts across Elastic’s global environment to uncover threats that evade automated detection
You will design and execute adversary emulation exercises to stress-test our detection pipelines, validate coverage, and drive continuous improvement
You’ll partner deeply with Detection Engineering, Incident Response, and Threat Intelligence to ensure that what we hunt for translates directly into durable detections and hardened defenses
Требования
At least 8 years of experience in information security with a focus on threat hunting, detection engineering, incident response, or red/purple team operations with the Elastic Stack
Demonstrated experience in conducting structured and hypothesis-driven threat hunts in complex enterprise or cloud-native environments
The focus is on forward-thinking threat hunting, not just reactive investigation
Familiarity with threat hunting frameworks such as PEAK, TaHiTI, or Sqrrl, and the ability to apply them operationally and at scale
Experience designing and executing adversary emulation exercises or purple team engagements, including scoping, execution, and post-exercise reporting
Working knowledge of adversary TTPs through frameworks such as MITRE ATT&CK, and the ability to map real-world threat intelligence to hunt hypotheses
Experience using AI-assisted tooling or large language models to support threat hunting workflows, such as hypothesis generation, log summarization, or anomaly triage
Scripting or coding ability to automate repetitive hunt tasks or build custom tooling
A curious, research-driven mindset. You read threat reports, study malware, and seek to understand attacker behavior at a deep level
Strong written communication skills with an ability to document technical findings clearly for both technical and executive audiences
Is eligible to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments
As a Principal Threat Hunting and Emulation Engineer at Elastic, you are at the forefront of proactively defending Elastic’s products, services, and people
You are a practitioner first
You think like an adversary, operate like an analyst, and build like an engineer
If combining structured threat hunting frameworks, AI-assisted analysis, and real-world adversary emulation in a best-in-class security environment excites you, we’d love to meet you!
Будет плюсом
Background in both detection engineering and incident response—understanding how hunts feed detections and how incidents inform future hunts
Experience threat hunting in cloud environments (AWS, GCP, Azure)
Familiarity with CI/CD and developer supply chain threat hunting (GitHub Actions, code pipeline integrity, dependency confusion, etc.)
Contributions to open-source threat hunting or detection engineering projects, or public threat research publications
The typical starting salary range for new hires in this role is listed below
In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting
We may ultimately pay more or less than the posted range, and the ranges may be modified in the future
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders
Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program
Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being
The typical starting salary range for this role is
The typical starting salary range for this role in the select locations listed above is
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are
we need you for what you can do
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Условия
Compensation for this role is in the form of base salary. This role does not have a variable compensation component
159,800 — $252,800 USD
191,900 — $303,500 USD
Паспорт вакансии
История публикации
Появилась в Вакандии31 день
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдLeadвычитано из текста вакансии
Формат работыне указан
ГеографияСШАвычитано из текста вакансии
Зарплата≈ 18 833 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-08-04
E
Работодатель
Elastic
50 активных вакансий · вилка работодателя указана в 35%