Principal Engineer — Real-Time Data Systems

This is a remote position.

We’re building the next-generation AI-driven platform that powers personalization, growth, and automation at global scale. Our technology sits at the crossroads of two seismic shifts in modern computing: agentic AI and high-performance cloud data infrastructure. Think of it as the intelligence layer that turns massive streams of user behavior into real-time insight and action.

Our customers range from top consumer brands to cutting-edge fintech and SaaS companies; all using our technology to deliver faster, smarter, more personalized experiences. We believe in speed without drama, autonomy without ego, and impact without bureaucracy.

The Role

We’re searching for a Principal Engineer to shape and scale our real-time data streaming systems - the backbone powering billions of in-the-moment decisions across our platform. You’ll architect and improve services that process millions of events per second with single-digit millisecond latency, touching almost every part of our data plane.

This is a hands-on technical leadership role on a small team tackling challenges few companies face: ultra-low-latency ingestion, distributed caching, deduplication at scale, and fault-tolerant event computation. You’ll be the type of engineer who gets excited by raw throughput charts, but even more excited when they translate into better customer outcomes.

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Requirements

What We Value

• Deep expertise in distributed systems, stream processing, or event-driven architectures (Kafka, Flink, Pulsar, etc.).

• Experience building low-latency or high-throughput systems at scale.

• A product mindset. You care deeply about the end impact of your code.

• Comfort owning major initiatives in a fast-moving, high-autonomy environment.

• Strong communication skills and a desire to mentor others.