At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
Задачи
Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance
Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity
Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity
Perform digital incident investigations to identify and contain potential security breaches
Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies
Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows
Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization
Utilize threat intelligence platforms to improve hunting, detection, and response workflows
Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders
Требования
At least an active Top Secret clearance. This is a requirement and candidates will not be considered who do not hold at least a Top Secret clearance
Ideally, you’d have
Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes
5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation
Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts
Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments
Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically
Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs
Familiarity with digital forensics tools and malware analysis techniques
Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate
Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows
Strong communication skills, with the ability to translate complex security findings into clear business impact
Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus
Please reference the job posting's subtitle for where this position will be located
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is
The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is
The base salary range for this full-time position in the location of St. Louis is
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
This allows us to ensure a fair and thorough evaluation of all applicants
Условия
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale
218,400 — $342,000 USD
196,800 — $307,000 USD
164,000 — $256,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
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.
ГрейдMiddleвыведено из другого признака
Формат работыне указан
ГеографияНью-Йорк, СШАвычитано из текста вакансии
Зарплата≈ 15 042 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
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Карьерный сайт работодателя
Найдено публикаций
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greenhouseОсновная публикация · 2026-07-24
SA
Работодатель
Scale AI
50 активных вакансий · вилка работодателя указана в 17%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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