Senior Site Reliability Engineer (Data Platform)

Description

Join a critical global-infrastructure team responsible for a massive data pipeline that collects telemetry from hundreds of thousands of servers and delivers data to customers for analytics and reporting. This role focuses on the reliability of large-scale data systems, observability, and complex problems across software, networks, and infrastructure.

What You Will Do

• Engineer world-class data systems: Focus on the reliability and performance of massive data platforms. Work extensively with large-scale distributed databases to ensure data integrity, availability, and low-latency performance. The environment heavily uses Cassandra and MongoDB; expertise with other modern NoSQL or distributed data systems is also valued.
• Become the ultimate troubleshooter: Serve as the highest technical escalation point for complex reliability and performance issues, leading investigations across the global stack.
• Build insightful observability: Design and build the observability fabric for real-time platform health, using Prometheus and Grafana to create actionable insights.
• Solve problems with code: Build high-quality automation and internal tooling with Python, Go, or Java. Streamline operations, automate diagnostics, including with AI assistance, and enable self-service workflows for other teams.
• Drive long-term reliability: Partner with Engineering, Product, and Network teams to influence architecture, identify systemic weaknesses, and deliver scalable solutions that prevent future incidents.

Qualifications

• Deep hands-on experience engineering and operating large-scale distributed data systems, including data-at-scale work, metrics analysis, and troubleshooting complex data-integrity issues.
• Practical experience with modern NoSQL databases; Cassandra or MongoDB experience is strongly preferred, though similar technologies are considered.
• At least 5 years of experience as an SRE or Systems/Infrastructure Engineer managing mission-critical distributed systems.
• Programming experience building automation and tooling in Python, Go, or Java.
• Strong Linux/Unix administration and low-level system-troubleshooting foundation.
• Strong root-cause-analysis mindset and ability to deliver robust, production-grade solutions.