About the company
QuickNode is a cloud-based infrastructure company that powers the blockchain ecosystem. Our mission is to be the indispensable utility that empowers companies and innovators globally to build next-generation, Web3 enabled businesses & applications using blockchain technology. QuickNode is backed by some of the world’s best investors including Tiger Global, Y Combinator, SoftBank, and the Seven Seven Six Fund. The QuickNode team has over 120 people maintaining high performance global data infrastructure for amazing customers serving billions of requests daily. We are a global remote first company HQ’d in Miami, Florida.
Job Summary
What You'll Do
📍Advanced Web3 Support: Tackle complex Web3 issues, including conducting thorough post-mortems, providing technical direction in customer calls, and leading remediation efforts during incidents. 📍System Monitoring and Analytical Skills: Utilize advanced analytical and dashboard skills, including proficiency in tools like Grafana or DataDog, to monitor system performance and health. 📍Process and SLA/SLO Management: Define, enforce, and ensure the organization meets stringent SLO/SLA objectives, contributing to the overall health and reliability of our platform services. 📍Hands-On Problem Solving: Innovate to solve complex challenges quickly and efficiently, while being disciplined in task follow-through to minimize technical debt and implement preventive measures. 📍Collaboration and Support: Work closely with the Support L1 team and other cross-functional teams, fostering a collaborative environment to maintain system efficiency.
What You'll Bring
📍Proven Experience: At least 5 years in Technical Operations, SRE, or a similar role, with a deep understanding of Linux/Unix systems. 📍Deep Blockchain / Web3 Expertise: Ability to handle complex Web3-related issues with proficiency, including troubleshooting JSON-RPC responses, analyzing validator logs, and working with chain foundations directly on improving network performance. 📍DevOps Experience: Proficiency in automation and configuration management tools (e.g., Ansible, Terraform, Consul), and in programming languages such as Python, Go, or JavaScript. Familiarity with containerization technologies like Docker and Kubernetes. 📍System Optimization: Skilled in system optimization, including benchmarking using in-house tools, cost analysis and optimization, and system-level tuning by comparing various cloud providers, hardware configurations, and kernel parameters.