Staff Software Engineer, Credit Execution
Berkeley or Remote
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For over a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Credit Execution Engineering team, you will be developing the company's production trading systems and data pipelines. 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 complex trading behaviors. Your Team We look for responsible people with a passion for solving problems. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.
Responsibilities
- Design real-time distributed trading systems that place orders across global markets and asset classes (Go)
- Own observability and remediation tooling used to analyze trading performance and risk (Go / Python)
- Integrate with new assets and markets and drive clarity on the resulting requirements
- Improve the resilience and performance of our trading systems
- Develop tooling to integrate data from diverse vendors
- Lead complex projects spanning across the company. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Computer Science Degree or equivalent experience
- 7+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python and Go
- Excellent communication and project management skills in complex technical domains
- Ability to understand user stories and design solutions around real-world requirements
- Track record mentoring engineers and leading technical direction
Preferred Qualifications
- Expertise in building and optimizing data pipelines
- Experience with profiling and performance optimizations on highly available systems
- Experience with designing DR-aware robust software solutions
- Exposure to modern Python data science tooling
Job Profile
Regions
Countries
20 days of paid time off 401(k) Plan Candidate referral program Collaborative environment Dental coverage Life and AD&D insurance Life Insurance Medical coverage Paid Time Off Sick Days Vision coverage
Tasks- Collaborate with teams
- Design trading systems
- Develop data pipelines
- Lead complex projects
- Mentor engineers
Communication Data Pipelines Data Science Distributed Systems Finance Go Investment Management Machine Learning Mentoring Observability Project Management Python Research Software Engineering Trading Systems
Experience7 years
EducationComputer Science Computer Science Degree Equivalent experience Finance
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