Full-Time Site Reliability Engineer

Company OverviewAt Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth.

The Team & RoleJoin Zuora’s high-impact Operations team, where you’ll be instrumental in maintaining the reliability, scalability, and performance of our SaaS platform.

What you’ll doArchitect and implement intelligent automation workflows for infrastructure lifecycle management, including self-healing systems, automated incident remediation, and configuration anomaly detection using Infrastructure as Code (IaC) and AI-driven tooling. Leverage predictive monitoring and anomaly detection techniques powered by AI/ML to proactively assess system health, optimize performance, and preempt service degradation or outages.

Lead complex incident response efforts, applying deep root cause analysis (RCA) and postmortem practices to drive long-term stability, while integrating automated detection and remediation capabilities.

Identify and eliminate reliability bottlenecks through automated performance tuning, dynamic scaling policies, and advanced telemetry instrumentation.

Maintain and continuously evolve operational runbooks by incorporating machine learning insights, updating playbooks with AI-suggested resolutions, and identifying automation opportunities for manual steps.

Stay abreast of emerging trends in AI for IT operations (AIOps), distributed systems, and cloud-native technologies to influence strategic reliability engineering decisions and tool adoption.

Your experience

• Hands-on experience with Linux Servers Administration and Python Programming.
• Deep experience with containerization and orchestration using Docker and Kubernetes, managing highly available services at scale.
• Working with messaging systems like Kafka and ActiveMQ, databases like MySQL and Oracle, and caching solutions like REDIS.
• Understand and apply AI/ML techniques in operations, including anomaly detection, predictive monitoring, and self-healing systems.
• Has a solid track record in incident management, root cause analysis, and building systems that prevent recurrence through automation.
• Is proficient in developing and maintaining CI/CD pipelines with a strong emphasis on observability, performance, and reliability.
• Monitoring and observability using Prometheus, Grafana, and OpenTelemetry, with a focus on real-time anomaly detection and proactive alerting.
• Is comfortable writing and maintaining runbooks and enjoys enhancing them with automation and machine learning insights.

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