Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
Задачи
Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure
For instance, you might work on challenges such as
Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
Build tools to allow Databricks engineers to operate their services across different clouds and environments
Build services, products and infrastructure at the intersection of machine learning and distributed systems
Требования
BS (or higher) in Computer Science, or a related field
5+ years of production level experience in one of: Java, Scala, C++, or similar language
Experience developing large-scale distributed systems
Experience working on a SaaS platform or with Service-Oriented Architectures
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
Experience with security and systems that handle sensitive data
Good knowledge of SQL
Условия
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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Появилась в Вакандии30 дней
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Проверяли на источникеВидели 30 дней назад
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greenhouseПовторная публикация · 2021-10-21
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Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%