Staff Software Engineer, Strategy Platform

Voleon; New York (NY); Hybrid; USD 325,000 - 410,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life and AD&D Insurance

401(k) with company match

Paid time off

Daily catered lunches

Job summary

Voleon is seeking a Staff Software Engineer for Strategy Platform in New York. The hybrid role focuses on building and operating core data and trading-automation infrastructure that connects research data to live trading systems.

You will own large-scale platform components, drive data access and cataloging, and lead cross-functional projects across research, trading, and data teams. The team values robust observability, reliable deployment, and rapid iteration.

Qualifications

• 8+ years of backend, data pipelines, or platform engineering experience.
• Owned platform systems used by other teams, with decomposition decisions and migration planning.
• Strong debugging and observability instincts; comfortable in large datasets and complex pipelines.
• Computer Science Degree or equivalent experience.

Responsibilities

• Own significant platform components end-to-end including design, build, operate and evolve.
• Define data access, validation, orchestration, and cataloging across research and production.
• Engineer smooth deployment processes for research experiments into production.
• Develop tooling to integrate data from diverse vendors and unify symbol mappings.
• Support data pipelines with strong temporal semantics under latency and correctness constraints.
• Sequence platform migrations to shared abstractions with minimal disruption to live trading systems.
• Lead cross-functional projects across research, legal, trading, finance ops, data, and infrastructure.
• Build tooling to support integration with new assets and markets.
• Improve observability across the strategy lifecycle including data cataloguing, experiment tracking and production SLAs.

Skills

Python

Observability

Debugging

Education

Computer Science Degree or equivalent

Tools

Airflow

Dagster

Spark

Iceberg

Trino

Flink

Python

Job description

Staff Software Engineer, Strategy Platform

Location

Employment Type

Full time

Location Type

Hybrid

Department

Software

Compensation

• Base Salary $325K – $410K 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

8+ 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

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.