Senior Software Developer, Streaming Platform
WealthsimpleSalary not specified
Full Time
Senior (5 to 8 years)
[Remote] Senior / Staff Software Engineer - Batch and Realtime Streaming at The Voleon Group
Berkeley, California, United States
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Finance, Artificial Intelligence, AI & Machine Learning, Asset ManagementIndustries
Requirements
Candidates must possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience, along with 5+ years of software engineering experience focused on backend systems, distributed computing, or data infrastructure. Proficiency in programming languages such as Python, Go, and C++, understanding of database technologies (e.g., Postgres, MySQL, Cassandra, DynamoDB, SQLite, DuckDB, MongoDB), and experience with APIs (REST/gRPC) are essential. Strong problem-solving skills, a focus on delivering high-quality, maintainable, and well-documented solutions, and excellent communication and collaboration skills are also required. Preferred qualifications include experience building large-scale data pipelines and storage systems (e.g., Airflow, Spark) and exposure to modern Python data science tooling (pandas, polars, dask, duckdb).
Responsibilities
The Senior/Staff Software Engineer will architect, design, and implement core components for a Batch and Realtime Streaming platform, including data ingestion pipelines, storage systems, serving layers, and API interfaces. They will ship new features by collaborating across research, legal, trading, finance operations data, and infra teams for trading systems. The engineer will also collaborate with ML researchers and data scientists to understand their workflows and design intuitive interfaces for seamless feature discovery, access, and reuse. Key duties include ensuring data quality, consistency, and lineage for features, building robust mechanisms for versioning, monitoring, and governance, and optimizing data pipelines and storage for high performance, scalability, and reliability. Additionally, they will drive adoption of the feature store across teams by producing documentation, onboarding materials, and developer support, and mentor junior engineers while contributing to team best practices and technical excellence.
Skills
AI
Machine Learning
Batch Processing
Realtime Streaming
Data Architecture
Software Development
High-Performance Interfaces
Feature Engineering
Quantitative Finance
The Voleon Group
Investment management using machine learning algorithms
About The Voleon Group
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.
Berkeley, CaliforniaHeadquarters
2007Year Founded
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Paid Vacation
Paid Sick Leave
401(k) Retirement Plan
401(k) Company Match
Risks
Competition from other quantitative hedge funds may erode Voleon's market share.
Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.
Data quality issues could lead to inaccurate predictions and financial losses for Voleon.
Differentiation
Voleon uses machine learning for data-driven financial market predictions.
The firm serves institutional clients with a focus on scalability and risk management.
Voleon's academic approach emphasizes intellectual rigor and continuous learning.
Upsides
Increased interest in ESG investing offers new opportunities for Voleon's models.
Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.
Cloud computing enables efficient scaling of Voleon's data processing capabilities.
Related Jobs
RemoteRemoteSenior Software Engineer I, Backend
AledadeSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Software Engineer, Data
Vannevar LabsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteStaff Engineer, Distributed Systems
LaunchDarklySalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Data Engineer, Data Lakehouse Infrastructure
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Software Engineer - Processing
Lithic$145,000 - $195,000/year
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteStaff Software Engineer, Data Platforms
PhiloCA$170,000 - CA$185,000/year
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Software Engineer, Video
Flock Safety$171,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
RemoteSenior Software Engineer (Python/Data & Infrastructure)
NorthbeamSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Data Engineer
eBay$132,000 - $222,100/year
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Backend Engineer - Data Ingestion (ClickPipes)
ClickhouseSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Backend Engineer, Feature Management
LaunchDarklySalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Software Engineer, Data Governance
MixpanelSalary not specified
- Full Time
- Senior (5 to 8 years)