Our partner is looking for a Site Reliability Engineer based in India. As a Site Reliability Engineer, you will play a key role in maintaining and improving the reliability, performance, and scalability of large-scale cloud infrastructure. You will support a managed database service running on a leading cloud platform, taking ownership of production incidents and complex distributed systems challenges. Working within a global engineering team, you will collaborate with R&D; and Product specialists to resolve technical issues and drive continuous platform improvements. You will also develop automation tools, internal services, and AI-powered solutions to streamline operations and strengthen incident management. Using modern observability technologies and cloud-native tools, you will improve system monitoring, troubleshooting, and operational efficiency. Accountabilities: - Manage production incidents: Take ownership of incidents affecting production clusters in Azure cloud environments, ensuring timely investigation, resolution, and service restoration. - Diagnose complex infrastructure and application issues, conduct root cause analyses, and implement effective solutions to prevent recurrence. - Work closely with R&D; and Product teams to resolve software defects, communicate operational challenges, and influence product enhancements that improve long-term reliability. - Participate in global operations: Contribute to a 24/7 on-call rotation within an international follow-the-sun support model, ensuring continuous service availability. - Design and implement code-driven automation tools, internal platforms, and data workflows using cloud services and AI-assisted development technologies such as Cursor, Codex, and Claude.



- Build and maintain services that enhance incident response, reporting, operational visibility, and fleet-wide performance insights. - Improve monitoring and telemetry systems using tools such as Prometheus, Grafana, and Azure Monitor, while developing AI-driven capabilities for data enrichment, anomaly detection, and automated troubleshooting. - Identify opportunities to optimize incident response processes, automate repetitive tasks, and strengthen the stability and scalability of production systems. Requirements: - Education and experience: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, with at least 4 years of experience in Site Reliability Engineering, Cloud Operations, or Infrastructure Engineering. - Cloud infrastructure expertise: Proven experience troubleshooting large-scale production environments and hands-on knowledge of major cloud platforms, including AWS, Azure, or Google Cloud Platform. - Robust knowledge of Linux/Unix systems administration, troubleshooting, and performance optimization. - Networking knowledge: Solid understanding of networking fundamentals, particularly TCP/IP protocols. - Practical experience with monitoring and logging platforms such as Prometheus, Grafana, ELK, Splunk, and Azure Data Explorer, along with the ability to analyze telemetry data using Kusto Query Language (KQL). - Programming and scripting: Strong scripting and programming capabilities in Python and Bash. Familiarity with C# or other programming languages is an advantage. - AI-assisted development: Experience using AI-powered development tools to accelerate code generation, improve automation workflows, and build more efficient operational tools.

📌 Cloud Engineer / Site Reliability Engineer (India)
🏢 Jobgether
📍 India