Full-Time
Backline Engineer
Platform
Confirmed live in the last 24 hours
Unified data, analytics, and AI platform
Expert
San Francisco, CA, USA
- 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
- Troubleshoot and resolve complex customer issues related to the Databricks Platform
- Provide suggestions and best practice guidance for improving performance in customer-specific environments
- 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
Databricks offers a Lakehouse Platform that unifies data, analytics, and AI, utilizing Delta Lake, Databricks SQL, and collaborative machine learning solutions to streamline data management and accelerate the machine learning lifecycle.
Company Stage
Series I
Total Funding
$4.2B
Headquarters
San Francisco, California
Founded
2013
6 month growth
↑ 10%1 year growth
↑ 35%2 year growth
↑ 114%Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave