Technical Support Engineer (Apache Pinot)

Location: US (Remote)

Company

hirify.global is a cloud-based software company that provides real-time and historical data analytics through hirify.global Cloud and Apache Pinot.

What you will do

• Troubleshoot and resolve customer performance and configuration issues in collaboration with field technical teams and Engineering.
• Provide technical support through tickets and Slack Connect, using Zoom for complex cases when needed.
• Provide on-call support for urgent production incidents and advise customers on complex technical challenges.
• Document solutions, best practices, and lessons learned in the knowledge base.
• Share customer feedback, feature requests, and product trends with development teams.
• Create internal tooling and improve support processes and team efficiency.

Requirements

• 4–6 years of experience in pre-sales, post-sales, or customer-facing technical roles.
• Hands-on experience with open-source data technologies and a strong understanding of OLAP, analytics, Kubernetes, and SQL.
• Experience or strong understanding of streaming technologies such as Apache Kafka.
• Proven troubleshooting skills across systems, applications, networks, JVM, and Linux-based applications.
• Strong knowledge of cloud infrastructure patterns and services in at least one major public cloud: AWS, Google Cloud, or Azure.
• Experience with modern data platforms and big data technologies is valuable, including Apache Pinot, Druid, ClickHouse, Spark, Hadoop, and Presto/Trino.

Nice to have

• Solutions Architecture certification for AWS, Google Cloud, or Azure.
• Degree in Computer Science focused on Data Science, Data Engineering, or Data Analytics.

Culture & Benefits

• Work in a customer-focused technical support function that collaborates closely with cross-functional teams.
• Continuous learning and opportunities to build technical skills alongside an evolving platform.
• Participate in a culture of knowledge sharing, mentoring, and continuous improvement.
• Support AI-driven innovations using advanced data technologies, including vector indexes.