Site Reliability Engineer

Summary

Join Zuora’s high-impact Operations team and play a key role in maintaining the reliability, scalability, and performance of our SaaS platform. This hybrid position involves proactive service monitoring, incident response, infrastructure service management, and ownership of shared services. You will collaborate with various teams to ensure seamless service delivery, design and implement operational best practices, and contribute to service provisioning strategies. The role requires hands-on experience with Linux Servers Administration and Python Programming, along with expertise in containerization, orchestration, and AI/ML techniques in operations. You will be responsible for leading incident response efforts and building systems that prevent recurrence through automation. If you are passionate about operational resilience and service reliability, this is the ideal opportunity for you.

Requirements

• Hands-on experience with Linux Servers Administration and Python Programming
• Hands on experience working on Agentic AI
• Collaborate on developing Multi Agentic Framework to Amplify Operations
• 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
• Understands and applies 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
• Keeps up-to-date with industry trends such as AIOps, distributed systems, SRE best practices, and emerging cloud technologies
• Brings a collaborative mindset, working cross-functionally with engineering, product, and operations teams to align system design with business objectives
• 1+ years of experience working in a SaaS environment

Responsibilities

• Architect 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

Preferred Qualifications

• Red Hat Certified System Administrator (RHCSA) – Red Hat
• AWS / Azure / GCP Certifications
• Certified Associate in Python Programming (PCAP) – Python Institute
• Docker Certified Associate (DCA) or Certified Kubernetes Administrator (CKA)
• Good knowledge of Jenkins
• Advanced certifications in SRE or related fields

Benefits

• Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
• Medical, dental and vision insurance
• Generous, flexible time off
• Paid holidays, “wellness” days and company wide end of year break
• 6 months fully paid parental leave
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing