Technical Support Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 12%

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Logo of StarTree

StarTree

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

StarTree is a company that provides real-time analytics solutions powered by Apache Pinot. Their platform allows users to run subsecond queries on petabyte-scale data for millions of users, making analytics affordable and efficient. StarTree offers enterprise support and a data management system that handles real-time and batch data with ultra-low latency. Their solutions cater to industries such as financial services, gaming, healthcare, and retail, enabling users to personalize offerings, manage risks, and detect fraud in real-time. StarTree emphasizes scalability, low cost, and high concurrency, making it an ideal choice for businesses looking to leverage data insights without extensive infrastructure overhead.

📋 Description

• Collaborate with field technical teams and Engineering to troubleshoot and resolve performance and configuration issues for StarTree customers • Provide customer support through tickets and Slack Connect, with Zoom available for complex cases • Document solutions, best practices, and lessons learned in StarTree's knowledge base • Mentor and train team members to promote continuous learning and improvement • Share product feedback, feature requests, and trends with development teams to drive innovation and enhance the product roadmap • Create internal tooling and improve processes to increase team efficiency and effectiveness • Work independently and collaboratively to deliver responsive customer service • Support AI-driven innovations across diverse industries using advanced data technologies, including vector indexes • Participate in on-call support for urgent production issues

🎯 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 major public cloud: Amazon AWS, Google Cloud, or Microsoft Azure • Certification in Solutions Architecture for one or more major public clouds is a bonus • Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics is a bonus • Based in India and able to work 5:00 PM–2:00 AM IST, primarily supporting US business hours

🏖️ Benefits

• Continuous technical skill development, exploration of innovative solutions, and growth opportunities • Opportunity to work with advanced data technologies, including vector indexes • On-call rotation participation for urgent production issues

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