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StarTree

Real-time analytics DBaaS powered by Pinot

Senior Software Engineer - Cloud Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • Strong software engineering fundamentals and experience solving distributed systems problems at scale.
  • Experience building cloud-based deployments, with working knowledge of container orchestration and infrastructure-as-code.
  • Comfort developing with AI tools and willingness to learn and integrate AI into engineering processes.

Responsibilities

  • Own end-to-end development of features in cloud control plane and data plane platform services, from idea through production launch.
  • Manage substantial Kubernetes workloads spanning major cloud providers.
  • Collaborate with engineering and partner teams to deliver effective and scalable customer solutions.
  • Mentor and grow engineers while learning from experienced engineers.

Desired Qualifications

  • Go experience is preferred; services are primarily written in Go or Java.
  • Open-source contributions or blog posts are a plus.

About the Company

StarTree

Real-time analytics DBaaS powered by Pinot

StarTree provides a real-time analytics DBaaS called StarTree Cloud, built on Apache Pinot and optimized for fast, user-facing analytics. It offers both public SaaS and Bring Your Own Cloud (BYOC) private SaaS, available on AWS, Azure, and Google Cloud. Customers pay a subscription and can start with a free trial. The platform uses Pinot’s star-tree index to enable fast aggregations across large data sets, helping businesses like ad tech and financial services power real-time dashboards and operational analytics. Unlike generic cloud databases, StarTree differentiates itself with a specialized, scalable real-time analytics engine backed by the original creators of Pinot, and flexible hosting options (public or private cloud). The goal is to give organizations a managed, scalable, real-time analytics solution that reduces the operational burden of maintaining data infrastructure while delivering fast insights for user-facing applications.

Company size
51-200
Company stage
Series B
Total funding
$75M
Headquarters
Mountain View, CA
Founded
2019

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