Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.

The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.

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. This is an exciting opportunity to join and help grow Galaxy's data engineering team in Mumbai at the start of building a next-gen, real-time, cloud-native analytics platform which is powered by kdb+ technology and AI-driven analytics. You will be working in a collaborative startup-like setting with data assets that span digital and traditional finance products, services and markets.

Ensure stability and quality of real-time ingestion processes

Build SRE tools focusing on proactive detection of performance bottlenecks across the platform's core q, Python and Java processes running 24x7 in AWS

Practical experience in developing,



deploying and supporting large-scale kdb+ platforms, preferably in AWS

- Hands-on experience with kdb Insights, including advanced usage of microservices and development of packages, pipelines and UDAs (user-defined analytics)
- Hands-on experience with Kubernetes services in AWS
- Development experience using Python data processing libraries and PyKX

Exposure to building Datadog dashboards with kdb metrics

Experience with integrating kdb+ with enterprise lakehouses, specifically Databricks

Experience using AI coding agents in development, testing, release and SRE lifecycles

Experience in working with crypto products, markets and data

Competitive base salary and discretionary bonus

Free virtual coaching and counseling sessions

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business.

📌 VP of Data Engineering (Mumbai)
🏢 GALAXY
📍 Mumbai