Software Engineer (Data)
About The Position
Vola Dynamics is the world's most sophisticated software and research company for advanced options analytics. Our volatility fitter and ultra-fast option pricers are the market standard, powering decisions at the world’s leading hedge funds, proprietary trading firms, market makers, and global banks. We're seeking a data-oriented Software Engineer to play a pivotal role in developing our next-generation streaming data infrastructure from the ground up. This is a rare chance to design and build a modern trading analytics platform from scratch—one that will power cutting-edge applications built on Vola's advanced options analytics library. We’re a small, tight-knit, highly technical team that values intellectual rigor, collaboration, and doing good work. You’ll take on broad responsibilities and contribute to work with real-world impact from day one. We help each other build, share ideas openly, and work together to get things done. We're a hybrid team, in the office on Tuesdays and Thursdays.
Requirements
- BS or MS degree in Computer Science, Physics, Mathematics, Data Science, Engineering, or another quantitative discipline.
- Between 2 years and 6 years of experience in relevant roles working on production data-oriented systems in Python.
- Experience designing, building, and maintaining scalable, fault-tolerant user-facing APIs for data-focused services or systems.
- Hands-on experience deploying orchestration frameworks and containerization technologies such as Dagster, Airflow, Prefect, Docker, or Kubernetes.
- Skilled at understanding, transforming, analyzing, visualizing, and debugging large numerical datasets.
- Comfortable with using agent-driven development workflows to generate high-quality code.
- Consistently apply software and data engineering best practices, including version control, automated testing, and thorough documentation.
- Ability to explain thinking clearly, in code, review comments, design discussions, and writing.
- Ability to work well independently, and as part of a small, hybrid team.
- Current authorization to work in the US.
Nice To Haves
- Active open-source contributor in the Python, C++, or Rust data ecosystems.
- Experience working with observability/tracing systems or production DevOps workflows.
- Professional experience working in a systems language (C++, Rust, Java, C#, etc.).
- Experience working on an options market making or derivatives infrastructure, or another quantitative finance background.
Responsibilities
- Design and implement robust, scalable, real-time and historical user-facing data APIs in C++, Python, and Rust.
- Build powerful internal tools (GUIs, TUIs, etc.) for real-time command & control and meta-analytics that accelerate research and streamline the path from research to production.
- Develop scalable systems to ingest, transform, and analyze real-time and historical options market data and deploy these on our distributed computing infrastructure.
- Architect, build, and maintain the data processing library underpinning our streaming analytics.
- Use AI development tools (Claude Code, Codex) as a standard part of software development.
- Own and evolve a rapidly growing distributed infrastructure spanning bare-metal servers, self-hosted Kubernetes, and cloud services.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
