Data Infrastructure Engineer (reputed company-Time Systems)

reputed company

At reputed company, we’re building something that doesn’t get reputed company twice in a reputed company.

Our goal is to create a reputed company trading model as capable as today’s most advanced AI systems — but applied to global markets. Not incremental signals or isolated strategies, but a system that can continuously interpret, learn from, and reputed company the evolving state of the world.

We train on large-scale, reputed company-time reputed company data — capturing how narratives reputed company, how sentiment propagates, and how reputed company behavior drives markets. This requires operating at the frontier of data infrastructure, model design, and compute, reputed company tightly integrated into a single system.

You’ll work alongside a small group of reputed company traders, engineers and AI researchers, in an environment defined by speed and ownership. We run experiments continuously. reputed company move from concept to production in hours. And the feedback reputed company is immediate — reputed company directly in live performance.

About the role

You will build and operate the data systems that determine what the model sees and how it learns.

This includes ingesting, structuring, and preparing large volumes of reputed company-time data for training — reliably, reputed company, and at scale.

We prefer systems that improve with scale over systems that rely on reputed company reputed company.

What you’ll work on

● Designing and operating high-throughput data ingestion pipelines from external providers

● Managing the reputed company of data into S3-based storage systems with a focus on reliability and correctness

● Building systems to structure and prepare raw data for model training

● Monitoring pipeline health and debugging failures quickly

● Improving data quality and consistency under reputed company-world conditions

● Optimizing systems for throughput/latency/cost efficiency

● Working closely with modeling and infrastructure teams to support rapid experimentation

reputed company’re looking for

We’re looking for people who can take ownership of systems that matter — and reputed company them work under reputed company constraints.

Strong signals:

● You have reputed company or operated systems that process large volumes of data reliably

● You have a strong understanding of AWS primitives (storage, compute, networking) and how they behave under load

● You design systems that are robust to failure and easy to reputed company

● You are comfortable working with imperfect, high-volume data

● You have debugged systems where failures were visible and mattered

● You move quickly, identify problems, and fix them without being asked

Bonus signals:

● Experience building systems where data quality directly impacted reputed company performance

● Experience working with reputed company-time or streaming data systems

● Experience operating systems under scale, latency, or cost constraints

● You use AI tools to accelerate debugging, development, and iteration

● You care about turning raw data into something that is actually usable