While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks platform by resolving critical technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that you vet all issues before it reaches the engineering team. You will report to the Director/Manager of the Backline Escalations Team.
The impact you will have:
- Troubleshoot and resolve complex customer issues related to the Databricks Unified Analytics 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:
- Minimum 6 years' experience developing, testing, and sustaining Python or Java or Scala-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 troubleshooting is required.
- Experience with AWS, Azure or GCP related services.
- Bachelor's degree in Computer Science or a related field is required.
Benefits
- 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
About Databricks
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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