Senior Software Engineer, GalaxyOne Institutional

About the role

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 www.galaxy.com. What We Value: We 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. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams.

Responsibilities

• Design and architect systems, services, and features on a cloud-native platform to increase automation and ensure the integrity and security of our systems.
• Work directly with stakeholders across product, operations, compliance, and the business to understand needs, define requirements, and drive delivery.
• Enhance and continue to build out our reporting, statements, and login/entitlements management systems and processes.
• Coordinate cross-functionally with other engineering teams to support broader platform functionality such as trading, lending, staking, and settlement.
• Take ownership of projects from scoping through production, managing timelines, dependencies, and communication along the way.
• 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.

Requirements

• 7+ years of professional software development experience.
• Solid computer science fundamentals and a proven track record in software design and development.
• Expert-level engineering skills in Java, Scala, Kotlin, C#, or similar (we primarily work in Java).
• Strong database and SQL knowledge.
• In-depth knowledge of object-oriented programming fundamentals.
• Demonstrated ability to work autonomously, manage competing priorities, and drive projects to completion with minimal oversight.
• A strong communicator who builds trust with both technical and non-technical partners - someone comfortable presenting trade-offs, pushing back when needed, and keeping stakeholders aligned.
• Experience collaborating across teams and functions as part of the SDLC.
• Familiarity with the full development lifecycle of a commercial system, including requirements definition, agile planning, production deployment, and production support.
• Bonus Points:
• Familiarity with AI-driven development tooling.
• Kafka, RabbitMQ, or similar messaging system experience.
• Kubernetes, Docker, or other containerization technologies.
• AWS, Azure, or GCP experience.
• Experience working in finance or fintech.
• Technical understanding of crypto and digital assets.
• Familiarity with asynchronous and reactive software patterns.
• Familiarity with domain-driven design and event-driven architectures.
• Experience with reactive frameworks/toolkits such as Vert.x.
• Understanding of the Java threading model and concurrency-related concepts.
• Experience with Databricks.

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