Staff Software Engineer, Batch and Realtime Streaming
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 148d ago
The date the source published, not the day we noticed it (2026-05-15). Last seen at its source just now.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote, United States
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2262 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 5d ago · last seen just now
The listing
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As a Senior 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.
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
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
Preferred Qualifications
Experience building large-scale data pipelines and storage systems (e.g., Airflow, Spark, Ray, Iceberg, 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
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.