Performance Engineer, Data Infra (INDIA)

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Mid level
Software
The Role
The Performance Engineer will be involved in creating and managing scalable services across cloud platforms, focusing on automation and performance. Responsibilities include managing Kubernetes workloads and ensuring high service reliability and availability while adhering to Agile development practices.
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.

Job Title: Staff Performance Engineer

Location: Bangalore, India
Team: Data Infra
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!

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:
We’re looking for a passionate and experienced Staff Performance Engineer to join our team and help us make Apache Pinot the fastest, most efficient, and easy to use real-time OLAP engine on the planet. You will work on building and optimizing the performance of one of the most advanced real-time analytics platforms. If you thrive on solving complex problems in distributed systems, tuning JVM internals, and driving performance improvements through data-driven decision-making, this is the role for you.

Your Mission:

  • Identify Bottlenecks: You will focus on customers’ pain points and bottlenecks across Pinot’s ingestion and query pathways. Through profiling, logging, and data collection, you’ll identify areas for improvement.
  • Tooling and Automation: Develop and maintain tooling to automate performance measurements, ensuring we capture the right metrics to assess system efficiency.
  • Data-Driven Performance Enhancements: Based on real data, you will recommend and drive the delivery of performance improvements that optimize for speed and cost efficiency. You’ll be working closely with engineering teams to implement these changes.
  • User-Focused Tuning and Efficiency: Design intuitive tools and resources that allow users to easily tune Pinot for optimal performance and efficiency.
  • Benchmarking and Advocacy: Publish performance benchmark results to showcase Pinot’s capabilities, driving adoption and building excitement within the community.

Who You Are:

  • You have 4-5+ years of experience in performance engineering roles.
  • Strong expertise in Java and a deep understanding of JVM internals.
  • You have hands-on experience working with distributed systems and tuning their performance.
  • A proactive problem solver who uses data to guide decisions and can work autonomously in a fast-paced environment.
  • Experience with profiling, logging, and performance monitoring tools to analyze system bottlenecks.

Bonus Points For:

  • Experience with Apache Pinot or other OLAP/real-time databases.
  • Familiarity with cloud environments and optimizing cloud-based applications.

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

Go
Java
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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