Voleon2mo ago

Senior Software Engineer, Execution Engineering

BerkeleyRemoteFull-timesenior

Software EngineerSoftware Engineering

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Quick Summary

Overview

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades,

Technical Tools

Software EngineerSoftware Engineering

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

Your Team

As a Senior Software Engineer on our Execution Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our traders and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.

We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. 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.

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

Bachelor’s, Master’s, or Doctoret 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