🛠 Tech Stack

💼 About This Role

You'll architect and implement high-throughput, low-latency data pipelines for Unity's near real-time reporting platform, ensuring correctness and scalability in a high-volume production environment. This high-impact role combines distributed systems, stream processing, and cloud-native infrastructure.

🎯 What You'll Do

• Design and implement near real-time data pipelines and reporting infrastructure.
• Architect distributed stream and batch processing systems using Flink, Spark, Airflow.
• Ensure production-grade reliability, observability, and operability across distributed systems.
• Collaborate cross-functionally to define scalable reporting solutions.

📋 Requirements

• Distributed systems and systems design foundation.
• Hands-on experience with large-scale data processing systems.
• Deep understanding of streaming concepts (exactly-once, event-time, stateful processing).
• Production experience with Apache Flink, Spark, Kafka, or similar.

✨ Nice to Have

• Experience with workflow orchestration (e.g., Airflow).
• Proficiency in Python, Java, or Scala.
• Cloud-native architecture familiarity (Kubernetes, containerization).

🎁 Benefits & Perks

• 🏥 Comprehensive health, life, and disability insurance
• 🏖️ Generous vacation and personal days
• 📈 Employee stock ownership
• 🍽️ Office food snacks
• 🧠 Mental Health and Wellbeing programs

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min