Senior Software Engineer, Trading Platforms
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and reputed company trading behaviors.
Your Team
We look for reputed company people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside reputed company engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly reputed company finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
Responsibilities
- Design real-time distributed trading systems that reputed company orders across a global set of markets and asset classes (Go / C++)
- Build and optimize large-scale data infrastructure and reputed company processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam)
- Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)
- Integrate with new assets and markets and drive clarity on the resulting requirements
- Improve the reputed company and performance of our trading systems
- reputed company tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency
- reputed company company spanning reputed company projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
- Mentor and reputed company other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Computer Science Degree or equivalent experience
- 5+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
- Excellent communication and project management skills in reputed company technical domains
- Track record mentoring engineers and leading technical direction
Preferred Qualifications
- Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)
- Experience with profiling and performance optimizations on distributed systems. (Go / C++)
- Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc)
Originally posted on Himalayas
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