Location: San Francisco, CA
run books to enhance the efficiency of the support team. Contribute to automation and tooling programs to make daily troubleshooting efficient. Partner with the Platform Engineering Team within Databricks and ensure that the support team is aware of upcoming features and releases.
Proactively reach out to the front line team members and provide technical assistance for long running customer cases. 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. Value collaboration and coach other team members. Participate in weekend and weekday on call
rotation Salary: $170,955 - $190,000 per year. Minimum job requirements: Bachelors degree in Computer Science, Computer Engineering, Electronic Engineering or related field and at least five years of experience.
Must have experience in the following areas: Experience in troubleshooting Python, Java or Scala-based applications; Experience with Linux or Unix troubleshooting; Experience with at least one of the following cloud providers: AWS, Azure or GCP; Experience with SQL-based database systems, Database administration and architecting High Availability applications; Experience troubleshooting issues related to Distributed Big Data Computing environment. Alternative Minimum Job Requirements:
Masters degree in Computer Science, Computer Engineering, Electronic Engineering or related field and at least three years of experience.
Must have experience in the following areas: Experience in troubleshooting Python, Java or Scala-based applications; Experience with Linux or Unix troubleshooting; Experience with at least one of the following cloud providers: AWS, Azure or GCP; Experience with SQL-based database systems, Database administration and architecting High Availability applications. May telecommute from any US location.
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