Senior / Staff Software Engineer - Batch and Realtime Streaming

The Voleon Group•Berkeley, CA

15d•$225,000 - $310,000

About The Position

Voleon is a technology-driven firm at the forefront of applying advanced AI and machine learning to solve real-world challenges in finance. For nearly two decades, we have been industry leaders, pioneering the use of AI/ML in investment management. Our continued innovation has established us as a multibillion-dollar asset manager with ambitious plans for the future. As a Senior/ Staff Software Engineer on the Batch and Realtime Streaming team, you will play a pivotal role in architecting, developing, and maintaining Voleon’s Batch and Realtime Streaming platform—the essential data backbone that powers our machine learning research and production trading systems. You will collaborate closely with researchers and finance professionals to design high-performance interfaces and tools that streamline feature productization, discovery, access, and management. This is an opportunity to make a significant impact at the intersection of cutting-edge technology and quantitative finance. Your Team We seek exceptional individuals who are driven by curiosity and a passion for tackling complex problems through innovation and solid engineering principles. At Voleon, you’ll join a collaborative culture where creative ideas are encouraged, experimentation is celebrated, and efficient execution is valued. You’ll work shoulder-to-shoulder with seasoned engineers who’ve joined us from top technology firms and leading academic institutions. Together, you’ll partner with world-class machine learning researchers, including internationally recognized leaders in artificial intelligence and machine learning, as well as accomplished professionals in both finance and technology. Beyond our vibrant and intellectually stimulating environment, we offer highly competitive compensation and benefits packages, regular technology talks led by our in-house experts, a state-of-the-art modern office, daily catered lunches, and much more.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
5+ years of software engineering experience, with a strong background in backend systems, distributed computing, or data infrastructure
Experience in programming languages such as Python, Go, and C++
Understanding of database technologies (Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB or MongoDB) and experience with APIs (REST/gRPC)
Strong problem-solving skills, with a focus on delivering high-quality, maintainable, and well-documented solutions
Excellent communication and collaboration skills; ability to work closely with both engineering and research teams

Nice To Haves

Experience building large-scale data pipelines and storage systems (e.g., Airflow, Spark, etc)
Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc)
Experience with monitoring and observability tools for distributed systems (e.g., Prometheus, Grafana, ELK Stack)
Prior experience working with feature stores (e.g., Feast, Hopsworks, or custom solutions) is highly desirable

Responsibilities

Architect, design, and implement core components for a Batch and Realtime Streaming platform, including data ingestion pipelines, storage systems, serving layers, and API interfaces
Ship new features by collaborating across research, legal, trading, finance operations data, and infra teams for trading systems
Collaborate with ML researchers and data scientists to understand their workflows and design intuitive interfaces (APIs, SDKs, UIs) for seamless feature discovery, access, and reuse
Ensure data quality, consistency, and lineage for features, building robust mechanisms for versioning, monitoring, and governance
Optimize data pipelines and storage for high performance, scalability, and reliability, considering both batch and real-time use cases
Drive adoption of the feature store across teams by producing documentation, onboarding materials, and developer support.
Mentor junior engineers and contribute to team best practices and technical excellence