Principal Engineer — Real-Time Data Systems

📋 Description

• Architect, design, and improve real-time data streaming systems with low latency.
• Lead development of core data infrastructure for real-time decisions.
• Solve distributed systems, fault tolerance, scalability challenges.
• Design ultra-low-latency ingestion, cache, deduplication, and large-scale event compute.
• Own major technical initiatives from concept to execution.
• Analyze system performance, identify bottlenecks, and drive improvements.

🎯 Requirements

• Proven expertise in distributed systems, stream processing, or event-driven architectures.
• Strong experience with Kafka, Flink, Pulsar, or similar real-time frameworks.
• Build and operate low-latency, high-throughput systems at scale.
• Deep understanding of data infrastructure concepts: event processing, fault tolerance, scalability.
• Experience leading major technical initiatives and architecture decisions.
• Strong programming fundamentals with production-grade systems.

🎁 Benefits

• Fully remote work flexibility.
• Competitive compensation up to $300,000 USD.
• Opportunity to build systems at global scale with significant complexity.
• Exposure to AI-driven platforms, cloud infra, and real-time data processing.
• High autonomy and ownership over impactful engineering initiatives.
• Collaborative environment focused on innovation and technical excellence.