About the Team: 

The Platform Engineering team is responsible for building innovative SaaS services and platforms. The team builds and operates StarTree cloud platform, a robust, resilient, auto-scaling platform that allows us to offer the power of Apache Pinot as a fully managed service by seamlessly managing hundreds of fully automated clusters in production. 

The team is fast-paced, high-velocity, and innovative using state-of-the-art technology. The focus is always on automation, solving sophisticated challenges and learning through continuous iterations.

About the Role:

The platform engineering role requires strong software engineering fundamentals, and knowledge of building and operating distributed systems and services. In this role, you’ll be contributing to the following areas:

Creating and operating multiple high-scale services that can be deployed seamlessly across any public cloud
Managing substantial Kubernetes workloads that span across all major cloud providers and regions 
Owning the design and development of multiple features in the cloud control plane and platform 
Non-functional requirements (performance, scalability, reliability, availability, etc.)
Championing Agile software development and quality standards

What we’re looking for:

Bachelor’s degree in Computer Science, and/or 6+ years relevant industry
Experience working on large-scale distributed systems
Proficiency with Java and/or Golang programming
Knowledge of cloud environments (AWS, Azure, GCP)
Strong experience with container workloads (Kubernetes,Terraform, ect.)
Experience building and operating SaaS services/products is a plus
Open-source contributions are a plus

The base salary range for this US full-time position is $150,000 - $220,000, subject to standard withholding and applicable taxes. Additionally, new hires receive competitive and compelling equity grants, and access to a comprehensive benefits offering. The base salary range reflects the minimum and maximum target for candidates. The Salary and Equity compensation offered may vary depending on factors including: location, skills, experience, and the assessment process.