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обновлено 19 дней назад

Software Engineer (Backend)

157 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (Backend): Designing and building features for distributed platforms and large-scale backend systems for the data cloud with an accent on driving impactful initiatives for global infrastructure. Focus on collaborating with cross-functional teams to deliver end-to-end solutions and improve engineering processes.

Location: Hybrid in Menlo Park, California, or Bellevue, Washington, United States

Salary: $157K–$230K per year

Company

Snowflake builds a cloud data and applications platform that enables secure, governed live-data sharing and customer-facing data solutions.

What you will do

  • Design and build backend features and distributed platforms at scale.
  • Develop services for the Data Cloud to support secure internal and external data sharing.
  • Drive impactful initiatives across globally distributed infrastructure.
  • Collaborate with product managers, architects, engineering teams, and business groups on end-to-end solutions.
  • Improve engineering processes, tooling, and technical standards.

Requirements

  • 2–7 years of industry experience designing, building, and supporting large-scale production systems.
  • Strong computer science fundamentals, including algorithms and data structures.
  • Fluency in Java, Python, C++, or SQL.
  • Experience building end-to-end customer-facing products.
  • Bachelor’s, master’s, or doctoral degree in computer science or a related field, or equivalent experience.
  • Ability to follow confidentiality and data-security standards when handling sensitive customer information.

Nice to have

  • Familiarity with database internals, data governance, or payment systems.

Culture & Benefits

  • Work in a fast-growing engineering organization focused on data and application infrastructure.
  • Use an experimental, AI-native approach to solving problems and improving delivery.
  • Contribute to initiatives across data engineering, database engineering, platform engineering, security, governance, and related areas.
  • Collaborate in a globally distributed infrastructure environment.

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