Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We’re looking for a Senior Site Reliability Engineer Engineer to take ownership of building and evolving our internal monitoring and alerting systems that keep our high-load, real-time production systems running smoothly. If you thrive on solving complex challenges at scale and have experience in DevOps/SRE practices and monitoring performance-critical applications, this role could be a great fit.
In this position, you will design, build, and continuously improve our internal monitoring and alerting tools. Test and validate solutions in real production environments. Collaborate closely with Development, QA, and DevOps teams to ensure system reliability and performance.
This is a full-time remote role, with a preference for candidates based in European time zones.
Commitment: Full-time: Remote Location: Eastern Europe; Australia, Brisbane; Australia, Melbourne; Australia, Sydney; Chile, Santiago de Chile; Georgia, Tbilisi; Greece, Athens; Hungary, Budapest; New Zealand, Auckland; New Zealand, Wellington; Argentina, Buenos Aires; Estonia, Tallinn Work type: remote
At least 7+ years of experience as a Node.js / JavaScript developer, ideally with a background in monitoring and supporting large-scale production systems Strong knowledge of REST API design and WebSockets Hands-on experience with cloud platforms such as AWS or GCP Solid understanding of distributed systems at scale Proficiency working in a Linux environment Excellent communication skills in English, with the ability to explain complex concepts clearly and logically Optional: Familiarity with tools such as Docker, Nginx, Prometheus, Grafana, etc. Experience working with time-series databases Understanding of low-level programming languages (e.g., C, C++, Rust) Previous contributions to open-source projects
