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Staff Software Engineer – Back Office
| Company | The Voleon Group |
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| Location | Berkeley, CA, USA |
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| Salary | $270000 – $300000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.
- 7+ 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.
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.
Preferred Qualifications
- Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).
- 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.
