---
title: "Software Engineer (Data)"
company: "Vola Dynamics"
company_url: "https://www.remjobs.works/companies/vola-dynamics"
url: "https://www.remjobs.works/job/vola-dynamics-software-engineer-data-6f090c1d-4e18-4ccb-b3e3-a05b8bc86143"
apply_url: "https://jobs.ashbyhq.com/voladynamics/7eead84c-9a5a-451e-8a80-40fce1f36093"
workplace: hybrid
location: "NYC"
employment_type: full-time
seniority: mid
role: software-engineering
region: united-states
skills: ["airflow", "cpp", "csharp", "docker", "java", "kafka", "kubernetes", "python", "rust"]
salary: "$165,000–$190,000 per year"
date_posted: 2026-09-23T21:33:45.959Z
first_seen_by_remjobs: 2026-09-23T21:40:27.618Z
---

# Software Engineer (Data)

**Vola Dynamics** · NYC

Salary: $165,000–$190,000 per year

Apply: https://jobs.ashbyhq.com/voladynamics/7eead84c-9a5a-451e-8a80-40fce1f36093

## About the role

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.

---

Source: Vola Dynamics's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/vola-dynamics-software-engineer-data-6f090c1d-4e18-4ccb-b3e3-a05b8bc86143