Staff Software Engineer, Data Platform (Pinot)

Posted 17 Days Ago
Be an Early Applicant
Hiring Remotely in Bangalore, Bengaluru, Karnataka
Remote
Senior level
Software
The Role
Contribute to the Apache Pinot software and build real-time database systems, optimizing query engines, and creating scalable distributed systems. Engage in data ingestion, storage, modeling, and automation tooling for improved analytics.
Summary Generated by Built In

At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics. 

Our aim is to make it simple for every company to delight their users - external and internal - and create new revenue streams from their data, by building the world’s most comprehensive and accessible cloud analytics system.

About the Team: 

The Data Infrastructure team is at the core of StarTree’s SaaS offering - enabling our customers to leverage real-time data to accelerate key decision-making by building world-class data ingestion, processing, and serving systems. The team is responsible for scaling and evolving StarTree’s Pinot Engine and the corresponding data platforms. 

About the Role:

In this role, you’ll be contributing to the open-source Apache Pinot software in addition to the following areas:

  • Building real-time database/data system internals
  • Query engine optimization, compilation, and execution
  • Data ingestion, storage, modeling, and indexing services
  • Building scalable, low latency, distributed systems
  • Creating automation and abstraction self-service tooling

What we’re looking for:

  • 5+ years experience in a related field 
  • Proficiency in Java, C++, or Scala programming languages
  • Experience with cloud technologies (AWS, Azure, GCP, Kubernetes, etc)
  • Familiarity with stream/batch processing, database, and/or data system internals 
  • Hands on experience working on large-scale distributed systems
  • Knowledge of multi-threading and concurrency concepts
  • Open-source contributions is a plus

About StarTree:  

StarTree is a cloud-based software company that enables business customers to derive advanced insights from real-time and historical data. StarTree was founded by the core software engineering team and inventors of Apache Pinot, which currently powers hundreds of user-facing applications at companies across industries, including LinkedIn, Uber, Target, 7Eleven, Etsy, Walmart, WePay, Factual, Weibo, and more. StarTree Cloud has enabled even more companies to deploy and operate real-time analytics at scale, including Stripe, Sovrn, Roadie, Just Eat Takeaway.com, Dialpad, Guitar Center, Blinkit, and more.

StarTree recently announced our Series B Funding with investment from GGV Capital, Sapphire Ventures, Bain Capital Ventures, and CRV. We have been named one of The Information's 50 Most Promising Startups and one of CRN's 10 Coolest Cloud Computing Startup Companies of 2022!

Top Skills

C++
Java
Scala
The Company
HQ: Mountain View, CA
60 Employees
On-site Workplace
Year Founded: 2019

What We Do

When you hear “decision maker,” it's natural to think, “C-suite,” or “executive.” But these days, we’re all decision-makers. So, yes, the CEO is a crucial decider, but the franchise owner, the student, or the big box shopper all have important choices to make, too. The difference is, those traditional decision-makers have access to relevant data to guide their thinking. All the others? Flying blind.

Our vision is to change that. We believe every decision-maker should have access to fast, fresh, actionable insights. We’re motivated to unlock what’s possible when you put the right information in the right hands at the right time. Like the restaurant owner who’s able to call in an extra cook because she can see the surge in orders coming. Or the holiday shopper who has plenty of time to pick a different gift for his loved one because he sees his original order is delayed at the moment the supplier registers a procurement delay. Or the use-case we can’t even envision yet, because it is sitting in your data, waiting to be set free.

Exposing timely information to real decision makers in intuitive apps that not only inform, but allow you to act on the information being shared. That’s how we’re unleashing the power of user-facing analytics.

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