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Redis

Site Reliability Engineer

Posted Yesterday
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Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
Operate and improve large-scale Redis Enterprise clusters in Azure. Responsibilities include production incident management, distributed-systems troubleshooting, root-cause analysis, on-call support, automation development, observability enhancement, and collaboration with R&D and Product teams. The role builds scalable tooling, data workflows, and AI-assisted systems for anomaly detection, incident analysis, reporting, and automated troubleshooting.
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Who we are

We're Redis. We built the product that runs the fast apps our world runs on. (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. You in?

Why would you love this job?

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. You'll operate state-of-the-art products using the most cutting-edge and best-in-class SRE tools. 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. If you have a passion for tackling technical challenges on a global scale, this position is perfect for you.

 
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)

 
 

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. 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. We strive to create a workplace where every voice is heard, and every idea is respected.

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 [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.

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

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