Derivatives Engineer
Listed on 2026-05-10
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Software Development
Data Engineer, Software Engineer, AI Engineer
Who We Are
Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self‑custody, and tokenization technology. We also invest in and operate cutting‑edge data center infrastructure to power AI and high‑performance computing, addressing the growing demand for scalable energy and compute in the U.S.
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
To learn more about our businesses and products, visit
What We ValueWe are a diverse team of free thinkers and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission‑first approach. Our culture shapes our way of working and gets us where we want to be.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Build Dream Teams.
Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures.
You have experience in using mathematical and financial libraries (e.g. Sci Py, Num Py, Quant Lib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.
As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and Dev Ops.
Knowledge of the following is an advantage:
- Python, Go, Java
- Kafka, AWS SQS, or MQ
- Relational and non‑relational Databases (Postgres, SQL Server, Databricks)
- Spark
- FastAPI, Pydantic
- Jenkins
- AWS
- Caching Strategies and Implementations
- In-Memory Data Management
- Experience with Docker
- Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms.
- Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
- Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day‑to‑day work.
- 6+ years of professional experience working in software development
- Experience with building data pipelines, APIs, and reporting tools
- Experience in Financial Technology
- Strong knowledge of data structures, their implementations, and optimization techniques
- University degree in computer science, physics, engineering, or equivalent programming experience
- Experience with LLM Fine tuning and RAG Optimization
- Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
- Competitive base salary and discretionary bonus
- Hybrid/Flexible Working Arrangements
- Flexible Time Off (paid)
- 3% 401(k) company contribution
- Company‑paid health…
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