Staff Software Engineer, Product Platform
Vanta- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates are required to possess a Computer Science degree or equivalent experience, along with 7+ years of software engineering experience building high-performance systems, and expertise in operating and scaling mission-critical, large-scale production systems in languages such as Python, Go, and C++. Strong communication and project management skills are also necessary, along with a track record of mentoring engineers and leading technical direction.
As a Staff Software Engineer, the individual will be responsible for designing real-time distributed trading systems, building and optimizing large-scale data infrastructure and stream processing systems, owning observability and remediation tooling, integrating with new assets and markets, improving the resilience and performance of trading systems, developing tooling for data integration, leading complex projects, and collaborating across various teams to deliver end-to-end trading systems while mentoring and developing other engineers on the team.
Investment management using machine learning algorithms
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.