Senior Low-Latency Trading Systems Engineer

Intec Select Limited; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Intec Select Limited is seeking a software engineer to design, develop, and support high-performance data platforms for trading data. You will work on scalable batch and streaming systems, APIs, and production support in a Linux environment.

The ideal candidate has 2+ years of commercial software experience and strong skills in Python, Java, or C++, with a solid understanding of financial markets and time-series data.

Qualifications

• Requires at least two years of commercial software engineering experience.
• Strong programming skills in Python, Java, or C++, with experience delivering scalable production systems in Linux environments.
• Candidates should understand financial markets and time-series data, batch and streaming processing, and relevant orchestration, streaming, data lake, and database technologies.

Responsibilities

• Design, develop, and support high-performance software and data platforms for real-time and historical trading data, including scalable batch and streaming systems and APIs.
• Own data products through deployment and production support, collaborating with traders, quantitative researchers, and engineering teams to ensure reliable, high-throughput, low-latency trading infrastructure.

Skills

Python

Java

C++

Linux

Batch Processing

Real-Time Streaming

Financial Time-Series Data

Airflow

Dagster

Kafka

Delta Lake

Apache Iceberg

Relational Databases

Concurrent Systems

Low-Latency Systems

Financial Markets

Tools

Linux

Job description

Intec Select Limited is seeking a software engineer to design, develop, and support high-performance data platforms for trading data. You will work on scalable batch and streaming systems, APIs, and production support in a Linux environment.

The ideal candidate has 2+ years of commercial software experience and strong skills in Python, Java, or C++, with a solid understanding of financial markets and time-series data.