Principal Engineer — Real-Time Data Systems

📋 Description

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

🎯 Requirements

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

🎁 Benefits

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