Senior Software Engineer, Data Platform

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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Logo of StarTree

StarTree

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

StarTree is a company that provides real-time analytics solutions powered by Apache Pinot. Their platform allows users to run subsecond queries on petabyte-scale data for millions of users, making analytics affordable and efficient. StarTree offers enterprise support and a data management system that handles real-time and batch data with ultra-low latency. Their solutions cater to industries such as financial services, gaming, healthcare, and retail, enabling users to personalize offerings, manage risks, and detect fraud in real-time. StarTree emphasizes scalability, low cost, and high concurrency, making it an ideal choice for businesses looking to leverage data insights without extensive infrastructure overhead.

📋 Description

• Own and drive impactful distributed systems problems end-to-end, from inception through production launch • Collaborate with the engineering team to identify and prioritize impactful problems and projects • Raise the quality bar across engineering while keeping systems reliable and operationally lean • Mentor and grow engineers while learning from experienced engineers • Solve distributed-systems problems involving performance, reliability, concurrency, and data infrastructure

🎯 Requirements

• Strong distributed systems fundamentals and experience solving problems at scale • Java experience is a plus, but not a hard requirement • Ability to take an idea from concept through implementation and deliver it to production • Deep ownership of quality and customer experience, with focus on reliability, observability, performance, and ease of use • Adaptability and flexibility to changing priorities • Comfortable navigating ambiguity and uncertainty with a constructive, problem-solving mindset • Comfortable using AI tools in everyday engineering workflows and eager to continuously learn and integrate AI into building, debugging, testing, and problem-solving

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