Technical Support Engineer

Summary

Join StarTree, a passionate team building a cloud analytics system, as a Technical Support Engineer. You will be a key interface between customers and internal teams, providing technical expertise and driving customer satisfaction. This role requires deep knowledge of Apache Pinot and the StarTree Platform, including on-call support for urgent issues. You will mentor team members, contribute to the knowledge base, and act as the voice of the customer to improve the product. StarTree prioritizes learning and growth, offering opportunities to develop technical skills and explore innovative solutions. The company is rapidly expanding, creating a dynamic and rewarding work environment.

Requirements

• 4-6 years of experience in Pre/Post-Sales or Customer-facing roles
• Hands-on experience with open-source data technologies
• Strong understanding of and hands-on experience with OLAP, Analytics, Kubernetes and SQL
• 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

• Familiarity with modern OLAP systems such as Apache Pinot, Druid, or Clickhouse
• Experience with big data technologies like Spark, Hadoop, and Presto/Trino
• Experience and/or strong understanding of streaming technologies such as Apache Kafka
• Certification in Solutions Architecture for one or more of the major public clouds (AWS, Google Cloud, or Azure)
• Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics