Principal Engineer — Real-Time Data Systems

📋 Description

• Architect and improve real-time data streaming systems with ultra-low latency
• Lead core data infrastructure for real-time decisions and personalization
• Solve distributed systems, fault tolerance, scalability, and performance
• Design low-latency ingestion, caching, and large-scale event processing
• Own major initiatives from concept through execution
• Analyze performance and drive platform improvements

🎯 Requirements

• Proven expertise in distributed systems, streaming, or event-driven architectures
• Strong experience with Kafka, Flink, Pulsar, or similar frameworks
• Build and operate low-latency, high-throughput systems at scale
• Deep understanding of data infra concepts: event processing, fault tolerance
• Experience leading major technical initiatives and architecture decisions
• Strong programming fundamentals and product-minded engineering

🎁 Benefits

• Fully remote work flexibility
• Competitive compensation up to $300,000 USD
• Additional perks and benefits package
• Opportunity to build systems at global scale with tech complexity
• Exposure to AI-driven platforms, cloud infrastructure, and real-time data processing
• High autonomy and ownership over impactful initiatives