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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:

We're hiring a Senior Site Reliability Engineer to lead reliability strategy and drive AI-powered automation at scale. This role involves owning complex systems, shaping architecture, and influencing cross-functional teams.

Job Responsibility:

  • Define and evolve SLOs, SLIs, and resilience patterns
  • Build AI-driven automation for detection, remediation, and forecasting
  • Lead cloud infrastructure and Kubernetes platforms
  • Drive incident response and operational excellence
  • Mentor engineers and influence org-wide reliability practices

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-based reward opportunities, and retirement programs
  • Medical, dental, and vision insurance
  • Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
  • Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
  • Learning & development stipend to support ongoing growth
  • Opportunities to volunteer and give back, including charitable donation matching where available
  • Mental wellbeing resources and support

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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