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
Задачи
Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs
Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback
Help the support team with detailed troubleshooting guides and runbooks
Contribute to automation and tooling initiatives to streamline daily troubleshooting
Partner with the engineering team and spread awareness of upcoming features and releases
Identify and contribute supportability features back into the product
Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests
Participate in weekend and weekday on-call rotation
As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team
You will be the technical bridge between support and engineering and the first line of defence for engineering
You will ensure that all issues are vetted by you before they reach the engineering team
You will report to the Backline Engineering Team Manager
Требования
7+ years of industry experience
Experience with supporting Java, Scala or Python-based applications
Expert in scripting using Python or Shell
Comfortable with black box troubleshooting
Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment
Experience with SQL-based database systems
Experience in Linux and network troubleshooting is required
Experience with AWS, Azure or GCP related services
A bachelor's degree in Computer Science or a related field is required
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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greenhouseОсновная публикация · 2026-03-05
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Databricks
50 активных вакансий · вилка работодателя указана в 21%