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Senior Software Engineer, Execution Engineering

Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.

225k – 255kBerkeley, CANew York, NYDevOps / SRERemote5+ YOE

About the role

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 AWS, Azure, or GCP
  • Demonstrated experience with modern cloud technologies and data observability tools (CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (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

Preferred Qualifications

  • 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

Skills

AWSAzureGCPKubernetesDockerTerraformCloudFormationPrometheusGrafanaCloudWatch

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