Production Support Engineer

Galaxy Digital; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Galaxy Digital in the United States seeks a Production Support Engineer to enhance automation and tooling for their digital assets platform. The role focuses on improving reliability and reducing operational toil through internal Python tooling and strong observability across systems to ensure seamless operations in a fast-paced environment.

You will collaborate with development teams to enhance system stability and performance while engaging in incident response and troubleshooting complex

Qualifications

• Proficient in Python programming.
• Strong SQL skills for data extraction and analysis.
• Experience with Kubernetes and cloud-native tooling in production.

Responsibilities

• Develop and improve automation to reduce toil and improve reliability.
• Maintain observability across systems and dashboards for proactive issue detection.
• Lead incident response and troubleshoot complex applications in production.
• Collaborate with development teams to stabilize systems and optimize performance.
• Explore integration of AI tools to boost productivity and workflows.

Skills

Python

SQL

Kubernetes

Job description

Galaxy Digital seeks a Production Support Engineer to enhance automation and tooling for their digital assets platform. Ideal candidates have strong Python, SQL, and Kubernetes skills, with experience in production support, particularly in finance.

As a Production Support Engineer at Galaxy Digital, you will focus on improving system reliability and reducing operational toil through automation. Your role includes building internal tools in Python and maintaining observability across systems to ensure seamless operations in a fast-paced environment.

You will collaborate with development teams to enhance system stability and performance while also engaging in incident response and troubleshooting complex applications. This role is critical in integrating AI tools to boost team productivity and refine workflows.