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Senior Site Reliability Engineer

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Zuora

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Zuora’s Cloud Engineering organization owns the reliability, scalability, and operational excellence of our global, customer-facing SaaS platforms. We are seeking a Senior Site Reliability Engineer to play a technical leadership role in advancing Zuora’s reliability strategy with a strong focus on AI-driven automation and intelligent operations. This role goes beyond execution and requires ownership of complex systems, definition of new approaches, and influence across teams.

Job Responsibility:

  • Reliability Architecture & Platform Strategy: Own and evolve the reliability architecture of large-scale, distributed SaaS systems by defining SLOs, SLIs, error budgets, and resilience patterns aligned with business objectives
  • AI-Driven Automation & Intelligent Operations: Design, build, and operationalize AI-powered automation to reduce operational toil and improve system stability
  • Advanced Cloud & Infrastructure Engineering: Lead the design and operation of complex AWS-based infrastructure and Kubernetes platforms, optimizing for availability, security, and cost efficiency
  • Incident Leadership & Operational Excellence: Act as a technical leader during high-severity production incidents, driving structured response, decision-making, and recovery
  • Technical Leadership & Cross-Functional Influence: Influence reliability outcomes beyond the SRE team by partnering closely with Engineering, Product, and Security stakeholders

Requirements:

  • 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations
  • Advanced expertise in AWS, including architecture design across services such as EC2, EKS, VPC, IAM, RDS, S3, and CloudWatch
  • Deep experience with Infrastructure-as-Code using Terraform, including complex modules, state management, and governance
  • Strong programming and automation skills using Python and Shell
  • experience building production-grade automation systems
  • Expert-level Linux systems knowledge, including performance tuning, security hardening, and deep troubleshooting
  • Proven experience operating distributed systems and data streaming platforms such as Kafka in high-throughput environments
  • Demonstrated ability to work independently on complex, ambiguous problems with broad organizational impact
  • Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives, including setting technical direction, influencing design decisions, and mentoring engineers to deliver measurable outcomes at scale
  • Practical experience designing or implementing AI/ML-driven automation in operations, reliability, or platform engineering
  • Experience integrating AI capabilities into monitoring, alerting, incident response, or workflow automation systems
  • Strong understanding of how AI can be safely and effectively applied in production environments

Nice to have:

  • Experience with advanced observability platforms (Prometheus, Grafana, ELK, or similar) enhanced with AI-driven insights
  • Familiarity with predictive analytics, anomaly detection, or AIOps platforms
  • Experience influencing architectural decisions at a platform or product level
  • Prior experience operating in a 24/7, global, high-availability SaaS environment
What we offer:
  • Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
  • Medical 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

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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