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

Зарплата

222 000 — 300 000 USD в год

Вилка работодателя

Видели 28 дней 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 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 tackle 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.

You will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day
You will reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns
You will close the loop between "bad change" and automated mitigation, driving company-wide MTTR down through investments in health-mediated releases, auto-rollback, and zero-downtime configuration delivery

5+ years managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms
Strong distributed systems and infrastructure background: Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments
Hands-on EM disposition: stays close to the code, leads design reviews, and contributes technically alongside the team

Вакансии