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 challenges: event processing, fault tolerance, scalability.
• Design ultra-low-latency ingestion, caching, deduplication, and large-scale event compute.
• Own initiatives from concept through execution, ensuring high quality and scalability.
• Analyze system performance, identify bottlenecks, and 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 scale.
• Deep understanding of data infra concepts: event processing, fault tolerance, scalability.
• Experience leading major technical initiatives and making architecture decisions in fast-moving environments.
• Strong programming and software engineering fundamentals for production-grade systems.

🎁 Benefits

• Fully remote work flexibility.
• Build systems operating at global scale with complex tech.
• Exposure to AI-driven platforms, cloud infrastructure, and real-time data.
• High autonomy and ownership over impactful engineering initiatives.
• Collaborative environment focused on innovation and technical excellence.
• Mentor engineers and influence engineering practices.