P-1386 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.  As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important 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 defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Engineering Team. The impact you will have: Troubleshoot and resolve complex customer issues related to the Databricks Platform by analyzing the core component metrics and logs. Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling programs to make daily troubleshooting efficient. 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 achieve resolution of customer issues and requests. Participate in weekend and weekday on-call rotation.   What we look for: 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 troubleshooting issues related to "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. Bachelor's degree in Computer Science or a related field is required About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.