If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome. ) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. The Redis Cloud Operations team is hiring for a Site Reliability Engineer role, offering you the chance to work on large-scale systems and support our valued customers. In this global role, you'll participate in the monitoring, operation, and management of a Redis managed service at one of the world’s largest cloud providers. We’re looking for highly motivated team players with a keen attention to detail and substantial experience working in intense production environments. 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. - Robust 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) As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners.

📌 SRE Engineer -AWS, DevOps (India)
🏢 Redis
📍 India