Senior Software Engineer, Strategy Platform

Voleon; New York (NY); Hybrid; USD 290.000 - 395.000; Vollzeit

Zusammenfassung

Voleon is seeking a Senior Software Engineer for Strategy Platform in a hybrid environment. You will own and evolve core data and deployment capabilities that connect research to live trading, enabling rapid experimentation with strong production reliability.

This role emphasizes building data pipelines, feature orchestration, and observability, collaborating across research, legal, trading, and data teams. Python fluency is valued as part of a broader ML-enabled infrastructure.

Qualifikationen

• 5+ years of experience in backend, data pipelines, or platform engineering.
• Owned platform systems used by multiple teams and oriented toward production use.
• Strong debugging and observability skills across complex data pipelines.

Aufgaben

• Own data access, validation, orchestration, and cataloguing across research and production.
• Create deployment tooling for experiments to production.
• Develop data integration tooling across vendors and ensure consistency.
• Improve observability and production SLAs across the strategy lifecycle.

Kenntnisse

Backend

Data pipelines

Platform engineering

Python

Observability

Ausbildung

Bachelor's degree in Computer Science

Tools

Airflow

Dagster

Spark

Iceberg

Trino

Flink

Jobbeschreibung

Senior Software Engineer, Strategy Platform

Employment Type

Full time

Location Type

Hybrid

Department

Software

Compensation

• Base Salary $290K – $395K Offers Bonus

The listed base salary range for this position is based upon 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.

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. 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.

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.

Responsibilities

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

Requirements

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

“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.