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# Senior Software Engineer, Strategy Platform

- **Company:** Voleon Funds LP
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $290,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Algorithmic Trading, Data Infrastructure, Data Security, Software Debugging, Management of Software Versions, Feature Store, Apache Spark, Backend, Information Technology, Apache Flink, Machine Learning Operations, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25196_496ce9d3a34559a56ad4afa1001d0271

## About the Role

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, Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure

Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking)

## Description

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