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. 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.

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)

Ability to design and implement scalable, maintainable automation solutions in a production workplace

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. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to [HIDDEN TEXT]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

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