Production Support Engineer (Mumbai)
Galaxy
| Company | Galaxy |
| Category | Engineering |
| Location | Mumbai |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 6 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
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 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.
Who You Are:
We're looking for a Production Support Engineer to join our global team in India, with a specialization in automation and tooling. You'll spend the majority of your time building and improving the internal tools, workflows, and automation that make our production support operation run more effectively. The rest of your time you'll work alongside teammates on monitoring, incident response, and cross-team coordination.
What You’ll Do:
Work on automation projects focused on reliability improvements, toil reduction, and incident response, building tools and scripts that make the team more effective
Build and maintain internal tooling in Python, including scripts, bots, and lightweight applications that support monitoring, alerting, and related workflows
Monitor system health and performance; identify and resolve issues promptly to ensure uninterrupted operations
Improve observability across systems; build dashboards, refine alerting thresholds, and surface signals that help the team stay ahead of issues
Debug and troubleshoot complex applications written in Java and Python
Automate operational tasks across our Kubernetes/EKS environment, including deployments, health checks, alerting, and runbook automation
Collaborate with development teams to implement fixes and enhancements to improve system stability and performance
Integrate with internal platforms (FireHydrant, DataDog, Jira, Confluence) to streamline incident workflows and reduce context-switching for the team
Coordinate with global counterparts to ensure seamless follow-the-sun support; some on-call is expected
Triage and respond to production incidents across our cryptocurrency business lines
Investigate issues using SQL and log analysis; escalate and coordinate with development teams as needed
Document and maintain support procedures, runbooks, and knowledge base articles
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.
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