Principal Engineer — Real-Time Data Systems

📋 Description

• Architect and improve real-time data streaming systems with ultra-low latency.
• Lead core data infra for real-time decision-making and personalization.
• Tackle distributed systems, event processing, fault tolerance, and scalability.
• Design ultra-low-latency ingestion, caching, deduplication, and large-scale event compute.
• Own major technical initiatives from concept to execution.
• Analyze performance and drive improvements across the data platform.

🎯 Requirements

• Proven expertise in distributed systems, stream processing, or event-driven architectures.
• Experience with Kafka, Flink, Pulsar, or similar real-time frameworks.
• Proven ability to build and operate low-latency, high-throughput systems.
• Deep understanding of data infrastructure, including event processing and fault tolerance.
• Experience leading major technical initiatives and architecture decisions.
• Strong programming and software engineering fundamentals.

🎁 Benefits

• Fully remote work flexibility.
• Competitive compensation of up to $300,000 USD.
• Additional perks and benefits package.
• Opportunities to build global-scale systems with significant complexity.
• Exposure to AI-driven platforms, cloud infra, and real-time data processing.
• High level of autonomy and ownership over impactful engineering initiatives.