OverviewWe are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning. Read a spotlight on Intropic here. Join us to help the world unlock the true power of information.

Responsibilities

Design, develop, and maintain real-time and historical market data pipelines from various sources

Ensure high data integrity and system availability while handling large-scale data processing

Monitor key metrics and build tools to streamline data access and operations

Collaborate across product teams to align infrastructure with strategic needs

Deliver clean, well-tested, and maintainable code in a fast-paced startup environment

Qualifications

Bachelor''s or Master''s degree in Computer Science, Engineering, Finance, or related field

Proficiency in Python plus strong familiarity with C++ or Java

Solid understanding of real-time feed handling, message protocols, and distributed data architecture

Hands-on experience with market data sources (e.g., Bloomberg, Refinitiv) and familiarity with cloud platforms (e.g. AWS, GCP) and technologies like Kafka

Skilled in building scalable data pipelines (ETL, streaming) and ensuring data quality, integrity, and performance

Excellent attention to detail, problem-solving mindset, and ability to manage tight SLAs

Effective communicator with strong stakeholder collaboration skills

Nice to have

Comfortable implementing monitoring, self-service tools, and operational dashboards

Experience in quant finance or working with trading and research teams

Background in systems performance optimization and high-throughput data environments

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