Principal Engineer — Real-Time Data Systems

📋 Description

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

🎯 Requirements

• Proven expertise in distributed systems, stream processing, or event-driven architectures.
• Strong experience with Kafka, Flink, Pulsar, or similar real-time data processing frameworks.
• Demonstrated ability to build and operate low-latency, high-throughput systems at significant scale.
• Deep understanding of data infrastructure concepts, including event processing, fault tolerance, scalability, and system reliability.
• Experience leading major technical initiatives and making architecture decisions in fast-moving environments.
• Strong programming and software engineering fundamentals with experience building production-grade systems.

🎁 Benefits

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