Datadog

Senior Staff Software Engineer

Lead · Гибрид · Нью-Йорк, США · Английский B2

Навыки

  • Коммуникация
  • Распределённые системы
  • Jaeger / OpenTelemetry
  • Лидерство
  • Мониторинг и observability
  • Роадмап

О компании и продукте

  • We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
  • Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways:
  • As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale.
  • As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution.

Задачи

  • Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines
  • Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production
  • Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy
  • Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems
  • Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap
  • Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction
  • Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups

Требования

  • You have a BS/MS/PhD in a scientific field or equivalent practical experience
  • You have 10+ years of backend, infrastructure, or distributed systems engineering experience
  • You have 4+ years of experience leading complex technical initiatives and cross-team projects
  • You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs
  • You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve
  • You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision
  • You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas
  • You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you
  • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
  • Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
  • Datadog values people from all walks of life
  • We understand not everyone will meet all the above qualifications on day one
  • That's okay

Условия

  • Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development
  • Have a lot of influence on product direction and impact on the business
  • Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
  • Competitive global benefits
  • Continuous professional development
  • Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog
  • Datadog offers a competitive salary and equity package, and may include variable compensation
  • Actual compensation is based on factors such as the candidate's skills, qualifications, and experience
  • In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan
  • The reasonably estimated yearly salary for this role at Datadog is
  • 272,000 — $340,000 USD

Паспорт вакансии

История публикации

Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 25 дней назад
Среди похожихдольше 67%сравнение с 107 вакансиями той же роли и грейда

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдLeadвычитано из текста вакансии
Формат работыГибридвычитано из текста вакансии
ГеографияНью-Йорк, СШАвычитано из текста вакансии
Зарплата272 000 — 340 000 USD в годвычитано из текста вакансии

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.

Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Свежесть33свежее 33% похожих вакансий

Проверка Вакандии

Источники и свежесть

Тип источника
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  • greenhouseОсновная публикация · 2025-05-20

Работодатель

Datadog

50 активных вакансий · вилка работодателя указана в 20%

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Безопасность

Отклик уходит на сайт источника

Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайтеcareers.datadoghq.com.

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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