ApplyTechnical Support Engineer - India
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💎 Seniority level: Middle, 4-6 years
📍 Location: India
🔍 Industry: Software Development
🏢 Company: StarTree👥 101-250💰 $47,000,000 Series B over 2 years agoPaaSAnalyticsSoftware
⏳ Experience: 4-6 years
🪄 Skills: AWSSQLAgileCloud ComputingGCPJavaKubernetesApache KafkaAzureData engineeringREST APICI/CDLinuxTroubleshootingData analyticsCustomer support
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.
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