The Voleon Group

Senior Software Engineer, Execution Engineering

Posted 25 Days Ago

Be an Early Applicant

2 Locations

In-Office or Remote

225K-255K Annually

Senior level

Financial Services

The Role

Develop production trading systems and data pipelines, collaborate with traders and research teams, improve systems' resilience and performance, and mentor other engineers.

Summary Generated by Built In

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.

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 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

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

Compensation

The base salary range for this position is $225,000 to $255,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

“Friends of Voleon” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Top Skills

AWS

Azure

CloudFormation

Cloudwatch

Docker

GCP

Grafana

Kubernetes

Prometheus

Terraform

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The Company

HQ: Berkeley, CA

169 Employees

Year Founded: 2007

What We Do

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.