Software Engineer, StarTree
Data Platform - Pinot
$150-220k
+ Equity
Office located in Mountain View, CA
Giving decision-makers data insights
Open for applications
Giving decision-makers data insights
101-200 employees
Open for applications
$150-220k
+ Equity
Office located in Mountain View, CA
101-200 employees
Company mission
To make data more accessible and actionable.
Role
Who you are
- 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
What the job involves
- 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
- 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
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Insights
53% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2022
$47m
SERIES B
May 2021
$24m
SERIES A
Total funding: $75m
Our take
StarTree is a startup founded by the creators of Apache Pinot, which delivers scaled analytics at low latency for up to millions of users - and has proven successful with market giants like Weibo, Walmart, and LinkedIn. StarTree is the platform-as-service version of Apache Pinot for enterprise, which is used by Cisco, Etsy and Target.
The company's pedigree is strong, with founders previously holding engineering positions at Uber and LinkedIn. They saw firsthand the benefits of providing real-time insights to users of Linkedin and UberEats, knowing it would sit well with the wider population.
Certainly, with more companies grappling with larger data pools at speed, the demand for low-latency analytics engines appears to only be growing. StarTree hopes to position Apache Pinot as the go-to engine for this and is focusing on marketing and sales to fend off rivals such as ClickHouse. It is expanding internationally as well to drive uptake, opening an office in India to grow into Asian markets..
Freddie
Company Specialist at Welcome to the Jungle