Назад
7 месяцев назад

Senior Staff Software Engineer

235 000 - 295 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Staff Software Engineer (Backend): Designing and implementing next-generation materialized view features and ETL systems for a large-scale data engineering platform with an accent on distributed systems, query optimization, and performance. Focus on building scalable, fault-tolerant architectures, low-level debugging, and leading complex technical projects across teams.

Location: Mountain View, California, United States

Salary: $235,000–$295,000 USD

Company

Databricks is a leading data and AI company providing a unified data intelligence platform used by thousands of organizations worldwide, including over 50% of the Fortune 500.

What you will do

  • Lead the Materialized Views engineering team to build next-generation ETL and query acceleration features.
  • Design and deliver scalable, available, and fault-tolerant architectures for materialized views.
  • Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
  • Drive architecture design, influence product roadmap, and take ownership of new projects.
  • Introduce automation tools to improve service operability.
  • Plan and lead complex technical projects involving multiple teams.

Requirements

  • Location: Must be onsite in Mountain View, California, United States
  • English: B2 or higher proficiency required
  • 15+ years of experience building and supporting large-scale distributed systems.
  • Strong foundation in algorithms, data structures, and performance optimization.
  • Passion for database, storage, distributed systems, or language design.
  • BS/MS/PhD in Computer Science or related field, or equivalent experience.

Culture & Benefits

  • Comprehensive benefits and perks tailored to employee needs.
  • Commitment to diversity and inclusion in hiring and workplace culture.
  • Opportunities to work on cutting-edge data and AI infrastructure platforms.

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