--- title: Software Engineer at Vola Dynamics in New York, NY description: Vola Dynamics is hiring for the Software Engineer role in New York, NY. Pays $165K–$190K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/software-engineer-at-vola-dynamics-01a0d061-52b5-79a2-a7c8-19877fc04736 date: 2026-11-15T01:26:44Z og_description: Join Vola Dynamics as Software Engineer in New York, NY. Pays $165K–$190K per year. Full-time, hybrid role. og_image: https://www.foundrole.com/og/89ipxd.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Vola Dynamics | | **Location** | New York, NY (Hybrid) | | **Salary** | $165K/yr - $190K/yr | | **Type** | Full Time | | **Posted** | Sep 24, 2026 | ## Is this job real? **Ghost job check:** B · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** No H-1B sponsorship on record for Vola Dynamics. - **E-Verify:** No E-Verify enrollment on record for Vola Dynamics. ## Pay for similar jobs Most similar jobs pay $180,000 – $240,000 a year (median $208,000). ## Description 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. **What You'll Do** - **Design high-performance APIs:** Design and implement robust, scalable, real-time and historical user-facing data APIs in C++, Python, and Rust. - **Build powerful internal tools:** 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 and maintain production data systems:** Develop scalable systems to ingest, transform, and analyze real-time and historical options market data and deploy these on our distributed computing infrastructure. - **Maintain our data processing library:** Architect, build, and maintain the data processing library underpinning our streaming analytics. - **Use AI:** AI development tools (Claude Code, Codex) are a standard part of how we build software here, and we'll expect you to use them well. - **Own our tech stack:** Own and evolve a rapidly growing distributed infrastructure spanning bare-metal servers, self-hosted Kubernetes, and cloud services. **Who You Are** - You earned a BS or MS degree in Computer Science, Physics, Mathematics, Data Science, Engineering, or another quantitative discipline. - You have between 2 years and 6 years of experience in relevant roles working on production data-oriented systems in Python. - You have experience designing, building, and maintaining scaleable, fault-tolerant user-facing APIs for data-focused services or systems. - You have hands-on experience deploying orchestration frameworks and containerization technologies such as Dagster, Airflow, Prefect, Docker, or Kubernetes. - You are skilled at understanding, transforming, analyzing, visualizing, and debugging large numerical datasets. - You are comfortable with using agent-driven development workflows to generate high-quality code. - You consistently apply software and data engineering best practices, including version control, automated testing, and thorough documentation. - You explain your thinking clearly, in code, review comments, design discussions, and writing. - You work well independently, and just as well as part of a small, hybrid team. - You hold current authorization to work in the US.   **Our Stack** Python, C++, ClickHouse, Kubernetes, Kafka (Redpanda), Dagster, and Rust. **Nice to Have** - 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. ## Skills - C# - Cloud Computing - Debugging - DevOps - Derivatives - Quantitative Analysis - Analytics - Prefect - Open-Source Software - Data Science - API Development - Python - Dagster - Observability - Fault Tolerance - Docker - Quantitative Finance - Artificial Intelligence - Distributed Tracing - Kubernetes - Apache Airflow - Software Versioning - Mathematics - C++ - Containerization - 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