Site Reliability Engineer

Overview

Redis Cloud Operations is hiring a Site Reliability Engineer to monitor, operate and manage a Redis managed service on a major cloud provider, working on large-scale production systems.

What you'll do

• Own and manage production incidents impacting Redis Enterprise clusters in Azure cloud
• Troubleshoot complex issues across distributed systems, driving root cause analysis and resolution
• Partner with R&D and Product teams to resolve bugs, influence product improvements through operational insights, and drive long-term reliability enhancements
• Participate in a 24/7 on-call rotation in a global team (follow-the-sun model)
• Design and develop code-driven automation tools, internal platforms, and data workflows leveraging cloud services and AI-assisted development tools (e.g., Cursor, Codex, Claude) to streamline operations, enhance incident analysis, and improve visibility into production systems
• Build and maintain services to enhance incident management, reporting, and fleet-level insights
• Enhance observability and monitoring (Prometheus, Grafana, Azure Monitor) by building AI-driven systems for data enrichment, anomaly detection, and automated troubleshooting
• Continuously enhance incident response processes and overall system reliability at scale

What you'll need

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience), with 4+ years in SRE, Cloud Operations, or Infrastructure Engineering
• Proven experience troubleshooting production systems at scale, including hands-on experience with major cloud providers (AWS, Azure, GCP)
• Strong Linux/Unix systems knowledge
• Solid understanding of networking fundamentals (TCP/IP)
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Splunk, Azure Data Explorer) and analyzing telemetry data using KQL
• Strong scripting/programming skills in Python and Bash; experience with C# is a plus
• Experience using AI-assisted development tools to accelerate code generation, improve automation workflows, and enhance operational tooling
• Familiarity with version control systems and CI/CD platforms (Git, GitLab, Azure DevOps)
• Excellent troubleshooting and problem-solving skills for large-scale distributed systems
• Ability to design and implement scalable, maintainable automation solutions in a production environment

Nice to have

• Familiarity with Redis or other NoSQL databases
• Experience with Infrastructure as Code tools (Terraform, Pulumi)
• Cloud and Linux certifications
• Experience with C# and other programming languages
• Experience in regulated environments (e.g., Sovereign Cloud)

Details

• Global role; participates in a 24/7 follow-the-sun on-call rotation
• Location line lists India