# Senior Software Engineer, Post-Trade Financial Systems

**Company:** [The Voleon Group](https://hotfix.jobs/companies/voleon)
**Location:** Berkeley, CA
**Role:** Data Engineering
**Salary:** $225k – $255k/yr
**Experience:** 5+ years
**Skills:** Python, Airflow, Go, Apache Beam, pandas, Polars, Dask, Duckdb, Data Pipelines, Distributed Systems, ETL, Stream Processing, Observability
**Posted:** 2026-04-17

> Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.

## Job Description

## Responsibilities
- Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like **Python**, **Airflow**, **Go**, and **Apache Beam**.
- Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations.
- Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems.
- Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs.
- Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems.
- Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
- Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge.

## Requirements
- **Bachelor’s degree** in Computer Science or equivalent professional experience in a related technical field.
- **5+ years** of software engineering experience designing and building high-performance, reliable systems.
- Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as **Python**.
- Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration.
- Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture.

## Preferred Qualifications
- Expertise in building and optimizing data pipelines (e.g. Change data capture, data modeling, data streaming, etc.).
- Experience with profiling and performance optimizations on distributed systems.
- Familiarity with modern Python data science tooling (**pandas**, **polars**, **dask**, **duckdb**, etc.).
- Experience with modern data engineering technologies.

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