Senior Software Engineer, Execution Engineering

The Voleon Group is a technology company that applies AI and machine learning techniques to finance. As a Senior Software Engineer on the Execution Engineering team, you will develop production trading systems and data pipelines, collaborating closely with traders and research teams to support complex trading behaviors.

Responsibilities:

• Design real-time distributed trading systems that place orders across a global set of markets and asset classes
• Integrate with new assets and markets and drive clarity on the resulting requirements
• Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing
• Own observability and remediation tooling used to analyze trading performance and risk
• Improve the resilience and performance of our trading systems
• Participate in on-call rotations and drive incident response, root-cause analysis, and postmortems
• Lead projects spanning a number of engineering teams and collaborate with non engineering stakeholders
• Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

Requirements:

• Bachelor's, Master's, or Doctorate degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems
• Proven expertise in building cloud-native, distributed systems on any one of AWS, Azure, or GCP
• Demonstrated experience with modern cloud technologies and data observability tools (e.g., CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (e.g., CloudFormation, Terraform)
• Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alerting
• Comfortable working in a containerized environment with Docker, Kubernetes, etc
• Strong coding, analytical, debugging, and troubleshooting skills including use of industry standard tools
• Great at communicating and influencing stakeholders
• Familiarity with the trading domain; experience in trading/execution systems (Order Management Systems, market data, order lifecycle)
• Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision-making
• Track record mentoring engineers and leading technical direction