Staff Backline Engineer - Platform
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CSQ125R11
Preferred locations include: Dallas, TX, Raleigh/Durham, NC; San Francisco/Mountain View CA; While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE 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 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 all issues are vetted by you before it reaches the engineering team. You will report to the Director the Backline Engineering 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.
Staff Backline Engineer - Platform
To see similar active jobs please follow this link: Remote Development jobs
CSQ125R11
Preferred locations include: Dallas, TX, Raleigh/Durham, NC; San Francisco/Mountain View CA; While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE 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 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 all issues are vetted by you before it reaches the engineering team. You will report to the Director the Backline Engineering 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.