Senior Software Engineer developing the company's production trading systems and data pipelines for machine learning. Collaborating with traders and research teams to support diverse trading requirements.
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
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