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обновлено 12 дней назад

Staff Software Engineer - Backend (AI)

192 000 - 260 000$
Тип работы
fulltime
Грейд
senior
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
Staff Software Engineer - Backend (AI): Building and operating micro-services for the Databricks platform and product with an accent on writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Focus on architecting, developing, deploying, and operating large scale distributed systems.

Location: Mountain View, California, United States

Salary: $192,000–$260,000 USD per year

Company

Databricks builds and operates a data and AI infrastructure platform used by organizations worldwide for analytics, machine learning, and mission-critical workloads.

What you will do

  • Prioritize, design, implement, test, and operate microservices for the Databricks platform and products.
  • Build data pipelines using Apache Spark and Apache Kafka.
  • Integrate services with third-party applications and cloud APIs across AWS, Azure, CloudFormation, and Terraform.
  • Architect and operate large-scale distributed systems that process exabytes of data and manage millions of virtual machines.
  • Contribute to infrastructure for machine learning, compute, storage, observability, service management, enterprise platforms, or core cloud infrastructure.

Requirements

  • BS, MS, or PhD in Computer Science or a related field.
  • 10+ years of production-level experience with Java, Scala, C++, or a similar language.
  • Experience architecting, developing, deploying, and operating large-scale distributed systems.
  • Experience with SaaS platforms or service-oriented architectures.
  • Good knowledge of SQL and experience with software security and systems handling sensitive data.
  • Experience with cloud technologies such as AWS, Azure, GCP, Docker, or Kubernetes.

Culture & Benefits

  • Work on highly technical data and AI infrastructure operating at global scale.
  • Collaborate with engineering teams and product management on multi-year technical initiatives with incremental deliverables.
  • Access employee benefits and perks tailored to the employment region.
  • Work in an environment committed to diversity, inclusion, and equal employment opportunity.

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