Senior Software Engineer, Securities Engineering

Quant Blueprint LLC; Berkeley (CA); Hybrid; USD 225,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

20 days of paid time off

401(k) plan with company match

Job summary

Quant Blueprint LLC in Berkeley, California is looking for a Staff Software Engineer to develop trading systems and data pipelines. The ideal candidate will have over 5 years of experience in software engineering, specifically implementing high-performance systems, and is proficient in Python, Go, and C++.

Responsibilities include designing distributed trading systems, optimizing data infrastructure, and mentoring engineers. The position offers a competitive salary range of $225,000 to $300,000 along with benefits.

Qualifications

• 5+ years of software engineering experience building high-performance systems.
• Experience operating and scaling large-scale production systems.
• Track record mentoring engineers and leading technical direction.

Responsibilities

• Design real-time distributed trading systems (Go / C++).
• Build and optimize large-scale data infrastructure for machine learning.
• Integrate with new assets and drive clarity on requirements.

Skills

Software engineering

Performance optimization

Communication skills

Project management

Mentoring engineers

Education

Computer Science Degree or equivalent experience

Tools

Python

Go

C++

Apache Airflow

Spark

Job description

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 Staff Software Engineer on our Securities Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.

Your Team

We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You'll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You'll work alongside experienced engineers recruited from leading technology companies and universities. Your team will collaborate closely with top machine learning researchers.

Responsibilities

• Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++)
• Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam)
• Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)
• Integrate with new assets and markets and drive clarity on the resulting requirements
• Improve the resilience and performance of our trading systems
• Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency
• Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
• Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

Requirements

• Computer Science Degree or equivalent experience
• 5+ years of software engineering experience building high-performance systems
• Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
• Excellent communication and project management skills in complex technical domains
• Track record mentoring engineers and leading technical direction

Preferred Qualifications

• Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)
• Experience with profiling and performance optimizations on distributed systems. (Go / C++)
• Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc)

Compensation

The base salary range for this position is $225,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

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.

Vaccination Requirement

The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well‑being of our employees and community, and to support public health efforts.