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. 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.

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.

Strong 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.

DevOps practices: Familiarity with version control systems and CI/CD platforms, including Git, GitLab, and Azure DevOps.





Demonstrated ability to design and implement scalable, maintainable automation solutions suitable for production environments.

Database knowledge: Familiarity with Redis or other NoSQL database technologies is a plus.

Infrastructure as Code: Experience with tools such as Terraform or Pulumi is desirable.

Relevant cloud or Linux certifications, experience with C#, and exposure to regulated cloud environments, including Sovereign Cloud, are considered advantages.

Strong attention to detail, adaptability, curiosity, and a collaborative mindset, with the ability to work effectively in a global, fast-paced engineering workplace.

Remote flexibility: Fully remote working arrangement, offering flexibility in your work location.

The opportunity to work with international engineering teams on large-scale, mission-critical cloud infrastructure.

Hands-on exposure to advanced cloud technologies, distributed systems, modern SRE practices, and AI-powered operational tools.

Reasonable accommodations are available to candidates who require assistance during the recruitment process.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.

📌 Remote Site Reliability Engineer(DevOps) (India)
🏢 Jobgether
📍 India