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обновлено 6 дней назад

Sr. Software Engineer (Backend)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark
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
Sr. Software Engineer (Backend): Building infrastructure for the Databricks platform at scale with an accent on core compute fabric resource management, service platforms, and machine learning infrastructure. Focus on implementing cloud-agnostic infrastructure abstractions and optimizing the Rust development experience across the organization.

Location: Aarhus, Denmark

Company

Databricks provides a unified Data and AI Platform for building and scaling data, AI applications, analytics, and agents.

What you will do

  • Build foundational infrastructure platforms for the Databricks platform at scale.
  • Develop cloud-agnostic infrastructure abstractions for services running across geographic regions and cloud providers.
  • Design and operate distributed backend systems supporting critical platform capabilities.
  • Develop engineering productivity tools, including static analysis, IDE support, remote development environments, release pipelines, and test automation frameworks.
  • Improve the Rust development experience across the organization.
  • Lead projects from inception and design through implementation and operations.

Requirements

  • 5+ years of professional software development experience.
  • Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
  • Proficiency in one or more backend languages such as Java, Scala, or Go.
  • Hands-on experience developing and operating large-scale, critical distributed backend systems.
  • Experience with infrastructure systems, security, sensitive data, and Kubernetes or AWS, Azure, or GCP.
  • Strong technical communication, documentation, collaboration, and project leadership skills.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the employee’s region.
  • Inclusive culture with equal employment opportunity practices.
  • Work on a global Data and AI platform used by organizations worldwide.

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