IT-вакансии — свежий каталог

Должность, навык или компания

Роль

Формат

Город

Страна

Все фильтры3

Грейд

Страна

Навык (код: python, go, sql)

Сортировка

Только с указанной зарплатойСкрыть долго открытые

Оценка Вакандии

≈ 18 542 USD в месяц

половина оценок ошибается не более чем на 29%

Видели 31 день назадИсточник откроется на сайте работодателя

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 helping data teams 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 AI and data 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. The Serverless Compute Platform is the backbone of Databricks' fastest-growing products. It is powering massive growth in our existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute)

Own a 0→1 service with platform-wide blast radius
Architect and launch the Execution Sandbox Service from inception to production scale
This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs)

5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services
BS or higher in Computer Science or a related field. Equivalent practical experience is equally valued
Deep technical fluency in infrastructure systems

Вакансии