Databricks предлагает понятную роль уровня Staff в востребованной инфраструктуре данных и AI, с оплатой около рыночной медианы и работой над системами огромного масштаба.
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Актуальный стекAI-инфраструктураМасштабные задачиОплата по рынку
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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