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Technical Support Engineer
| Company | StarTree |
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| Location | Mountain View, CA, USA |
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| Salary | $130000 – $180000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 4-6 years of experience in Pre/Post-Sales or Customer-facing roles.
- Hands-on experience with open-source data technologies.
- Familiarity with modern OLAP systems such as Apache Pinot, Druid, or Clickhouse is a plus.
- Experience with big data technologies like Spark, Hadoop, and Presto/Trino is a plus.
- Strong understanding of and hands-on experience with OLAP, Analytics, Kubernetes and SQL.
- Experience and/or strong understanding of streaming technologies such as Apache Kafka.
- Proven troubleshooting skills across systems, applications, network, JVM, and Linux-based applications.
- Strong knowledge of cloud infrastructure patterns and services within at least one of the major public clouds: Amazon AWS, Google Cloud, or Microsoft Azure.
Responsibilities
- Collaborate closely with field technical teams and Engineering to troubleshoot and resolve performance and configuration issues for StarTree customers.
- Provide exceptional customer support through tickets and Slack Connect, with the option to leverage Zoom for more complex cases.
- Contribute to StarTree’s knowledge base by documenting solutions, best practices, and lessons learned. Mentor and train team members to promote a culture of continuous learning and improvement.
- Act as the voice of the customer, proactively sharing product feedback, feature requests, and trends with development teams to drive innovation and enhance the StarTree product roadmap.
- Create internal tooling and identify opportunities to improve existing processes to increase team efficiency and effectiveness.
- Work effectively both individually and as part of a team, always striving to delight customers and embodying values of customer service and responsiveness.
- Work with advanced data technologies, including vector indexes, to support AI-driven innovations across diverse industries.
Preferred Qualifications
- Bonus points: Certification in Solutions Architecture for one or more of the major public clouds (AWS, Google Cloud, or Azure).
- Bonus points: Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics.
