обновлено 17 дней назад
Senior Software Engineer (Backend)
157 700 - 213 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Backend): Develop and scale backend infrastructure and products for the Databricks platform, focusing on serverless platforms, cloud infrastructure, partner integrations, and AI/ML notebook experiences. Focus on building large-scale distributed systems, cloud platform security, and multi-cloud scalability challenges.
Location: Bellevue or Seattle, Washington, USA (onsite)
Salary: $157,700–$213,800 USD
Company
Databricks is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.
What you will do
- Build and scale Databricks serverless platform for big data, machine learning, and Gen AI workloads across multi-cloud environments.
- Develop core cloud infrastructure including OS, container, and networking technologies to improve security, efficiency, and reliability.
- Build and maintain partner ecosystem toolkits and integrations for Databricks SQL.
- Create multi-language, multi-user collaborative notebook experiences focused on data science and AI/ML experimentation.
- Develop tools and frameworks to improve deployment, observability, and developer experience across Databricks services.
Requirements
- Location: Must be based in Bellevue or Seattle, Washington, USA for onsite work.
- Bachelor's degree or higher in Computer Science or related field.
- 5+ years of production experience in Java, Scala, Golang, C++, or similar languages.
- Experience with large-scale distributed systems and SaaS platforms or service-oriented architectures.
- Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes.
- Experience with security and systems handling sensitive data.
Culture & Benefits
- Comprehensive benefits tailored to employee region.
- Commitment to diversity, equity, and inclusion in hiring and workplace culture.
- Opportunities to work on cutting-edge data and AI infrastructure technologies.
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