Staff Software Engineer – Batch and Realtime Streaming

Job not on LinkedIn

🕒 July 28

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $315k - $405k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Voleon Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

💸 Finance

🤖 Artificial Intelligence

Finance • Artificial Intelligence

The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.

📋 Description

• 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

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) • 10+ years of software engineering experience, with a strong background in distributed computing and data infrastructure • Experience in programming languages such as Python and Go • Understanding of database technologies (Postgres, MySQL, Cassandra, DuckDB) 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.

🏖️ Benefits

• medical, dental, and vision coverage • life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match