🛠 Tech Stack

💼 About This Role

You'll build the distributed data layer powering our semantic platform for autonomous AI agents. You'll design high-throughput ingestion and real-time processing systems that make enterprise data understandable. Join a seed-stage team deploying with major enterprises.

🎯 What You'll Do

• Build and operate large-scale data pipelines on Spark, Kafka, and Ray.
• Design fault-tolerant streaming and batch systems that move terabytes reliably.
• Optimize data workflows for performance, cost, and latency.
• Collaborate with ML and product engineers to ensure data is discoverable and queryable.

📋 Requirements

• Deep experience with distributed data systems (Spark, Kafka, Flink, Ray).
• Strong programming skills in Python, Scala, or Java.
• Comfort with Kubernetes and cloud environments (AWS/GCP/Azure).
• Solid understanding of streaming vs. batch tradeoffs and scaling patterns.

✨ Nice to Have

• Experience with Ray.
• Familiarity with ML pipelines.
• Background in knowledge graphs.

🎁 Benefits & Perks

• 💰 Competitive salary and meaningful equity
• 🏖️ Full benefits including health insurance
• 🍽️ Meals provided
• 🖥️ Equipment budget
• 🏢 Onsite collaboration with a small senior team