Technical Support Engineer

About the Role

Support is a cornerstone of success at StarTree and a highly valued function within the organization. As a Technical Support Engineer, you will become a critical interface between customers and StarTree’s cross-functional teams, providing technical expertise and driving customer satisfaction.

This role requires you to become a subject matter expert on Apache Pinot and the StarTree Platform, delivering exceptional support to ensure customers achieve success. You’ll play a vital role in providing on-call support for urgent production issues, acting as a trusted advisor for resolving complex challenges.

At StarTree, learning and growth are at the heart of what we do. We are deeply committed to helping our team continuously build their technical skill sets, explore innovative solutions, and grow alongside our evolving platform.

StarTree is growing rapidly, with near-perfect customer renewal rates. This success has led to the rapid expansion of our support team, mirroring the increase in the number of customers leveraging StarTree solutions.

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.

Qualifications

• 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.
• 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.