The vacancy is well-structured with clear responsibilities and company information, but lacks specific salary details.
Check Match — Just drop your CV
See your fit for Production Support Engineer in seconds.
Overview
Join Galaxy Digital as a Production Support Engineer to enhance automation and tooling in a dynamic environment focused on digital assets and AI.
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 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.
What We Offer
- •Competitive base salary and discretionary bonus
- •Flexible Time Off (paid)
- •Hybrid Working Arrangements
- •Company-paid health and protective benefits for employees and their eligible dependents
- •Free coaching and counseling sessions through Headspace
- •Generous paid Parental Leave
- •Free daily snacks in-office and weekly lunches
- •Opportunities to learn about the Crypto industry
- •Smart, entrepreneurial, and fun colleagues
- •Employee Resource Groups
*Benefits may vary depending on location.*
What We’re Looking For
- •Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- •5+ years of experience in production support or engineering roles, preferably in finance, with direct exposure to trading system internals, post-trade processing, or real-time risk engines
- •Strong technical skills in SQL and Python; experience with Databricks or similar data platforms is a plus
- •Hands-on experience with Kubernetes; ability to read pod logs, diagnose issues, and write basic Helm configs
- •Experience with incident response, root cause analysis, and structured problem-solving in a production environment
- •Detail-oriented mindset with a focus on accuracy and quality
- •Excellent verbal and written communication skills
- •Proven ability to work well in a fast-paced, dynamic environment and prioritize tasks effectively