The Voleon Group

Staff Software Engineer, Strategy Platform

Reposted 5 Days Ago

2 Locations

Hybrid

270K-300K Annually

Senior level

Financial Services

The Role

Develop and optimize production trading systems and data pipelines, collaborating across teams to enhance trading performance and mentor engineers.

Summary Generated by Built In

Voleon is a quantitative hedge fund that uses machine learning as its core investment approach across a wide range of regions and asset classes. Voleon is a multibillion-dollar asset manager where the size of the engineering organization still allows for direct influence across key systems.

Strategy Platform owns the infrastructure between quantitative research and live trading. Our systems orchestrate the transformation of external market data into features consumed by ML-driven trading strategies, manage strategy deployments from research handoff through production, and provide the tooling that lets researchers iterate quickly without compromising production reliability.

This is a central platform team. We are consolidating and unifying systems that grew organically to serve different parts of the trading lifecycle, building and migrating to shared abstractions across data ingestion, feature computation, deployment and production trading operations. The team balances deep knowledge of how our trading strategies operate with building foundational layers that support the company’s continued rapid growth.

The Role

You will own significant pieces of our platform end to end: designing, building, operating, and evolving them. Concretely:

- Own how data is accessed, validated, orchestrated, and catalogued across research and production
- Engineer smooth deployment processes for research experiments into production
- Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency
- Support data pipelines with strong temporal semantics under a range of latency and correctness requirements
- Sequence platform migrations that move the firm toward shared abstractions while minimizing disruption to active trading systems
- Lead complex projects spanning the company, collaborating across research, legal, trading, finance operations, data, and infrastructure teams
- Build tooling to support integration with new assets and markets
- Improve observability across the strategy lifecycle, including data cataloguing, experiment tracking, and production SLAs

You might be a good fit if you have:

5+ years of experience in backend, data pipelines, or platform engineering
Owned platform systems that other teams depend on daily, made real decomposition decisions (data access layers, API versioning, data models, migration sequencing), and improved those systems while they were actively in use
Strong debugging and observability instincts. You orient quickly in unfamiliar codebases and datasets, particularly across data pipelines with many upstream sources and downstream consumers
Computer Science Degree, or equivalent experience

Preferred Qualifications

Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure
Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking)
Python Fluency

Compensation

The base salary range for this position is $270,000 to $300,000 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

Apache Airflow

C++

Kafka

Python

React

Spark

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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.