Senior Site Reliability Engineer (Data Platform)

On behalf of our client, a global leader in cloud and content delivery, this role is part of a critical team managing a massive data pipeline that collects telemetry from hundreds of thousands of servers and delivers data for analytics and reporting.

• Deep, hands-on experience engineering and operating large-scale, distributed data systems.
• Practical experience with modern NoSQL databases; preference for Cassandra or MongoDB expertise.
• At least 5 years of experience as an SRE or Systems/Infrastructure Engineer managing mission-critical distributed systems.
• Proficient programmer experienced with automation and tooling in Python, Go, or Java.
• Strong foundation in Linux/Unix administration and low-level system troubleshooting.
• Relentless drive to find root causes of complex problems and deliver production-grade solutions.

• Engineer World-Class Data Systems: Focus on reliability and performance of massive data platforms, working extensively with distributed databases like Cassandra and MongoDB.
• Become the Ultimate Troubleshooter: Serve as the highest technical escalation for complex reliability and performance issues across the global stack.
• Build Insightful Observability: Design and build observability using tools like Prometheus and Grafana.
• Solve Problems with Code: Write automation and internal tooling using Python, Go, or Java to streamline operations and diagnostics.
• Drive Long-Term Reliability: Partner with Engineering, Product, and Network teams to improve architecture and prevent incidents.