Senior Software Engineer - Trading Team

Our data engineering group plays a pivotal role in building scalable infrastructure and high-quality datasets that power sophisticated trading strategies. We collaborate closely with quantitative researchers, traders, and software engineers to ensure seamless data accessibility and reliability. The systems we develop are optimized for handling large-scale time series data, maintaining integrity, and enabling fast, ergonomic access through well-designed APIs.

As a Software Engineer, you will:

• Partner with multidisciplinary teams to deliver data solutions that support a wide range of trading workflows.
• Take end-to-end ownership of data products-from ideation and design to deployment and ongoing support.
• Architect and implement systems for both batch and real-time data processing, with a focus on time series data quality and consistency.
• Build and maintain APIs and data access layers that enable intuitive and high-performance retrieval of both historical and live datasets.
• Participate in on-call rotations to ensure system reliability and uptime.

• Programming Expertise: At least 5 years of experience with one or more of Python, Java, or C++, and the ability to work across multiple languages.
• Customer-Facing Engineering: Proven ability to work directly with stakeholders to scope, build, and deliver production-grade systems in dynamic environments.
• Problem Solving: Strong analytical skills with the ability to dissect complex issues, identify risks early, and simplify intricate systems.
• Communication & Collaboration: Excellent interpersonal skills; able to clearly convey technical concepts and foster a cooperative team culture.
• Domain Knowledge: Familiarity with financial markets, particularly in areas such as delta one instruments, store-of-value assets, or fixed income and options trading.
• Systems Experience: Background in building concurrent, high-throughput, low-latency systems on Linux platforms.
• Tooling & Frameworks: Experience with orchestration tools like Airflow or Dagster, streaming technologies such as Kafka, and data lake solutions like Delta Lake or Apache Iceberg.
• Education: Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or equivalent practical experience.