This position is listed on behalf of a partner company, who manages all applications and next steps. 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. This is an exciting opportunity to work on mission-critical infrastructure in a fast-paced, collaborative, and innovation-driven environment.
Accountabilities
- Manage production incidents: Take ownership of incidents affecting production clusters in Azure cloud environments, ensuring timely investigation, resolution, and service restoration.
- Troubleshoot distributed systems: Diagnose complex infrastructure and application issues, conduct root cause analyses, and implement effective solutions to prevent recurrence.
- Collaborate across teams: 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.
- Develop automation solutions: 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.
- Improve incident management: Build and maintain services that enhance incident response, reporting, operational visibility, and fleet-wide performance insights.
- Strengthen observability: 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.
- Drive continuous reliability improvements: 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.
- Operating systems: Strong knowledge of Linux/Unix systems administration, troubleshooting, and performance optimization.
- Networking knowledge: Solid understanding of networking fundamentals, particularly TCP/IP protocols.
- Monitoring and observability: 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.
- Problem-solving abilities: Excellent analytical, troubleshooting, and problem-solving skills, particularly when working with complex, large-scale distributed systems.
- Automation expertise: 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.
- Additional qualifications: Relevant cloud or Linux certifications, experience with C#, and exposure to regulated cloud environments, including Sovereign Cloud, are considered advantages.
- Soft skills: Strong attention to detail, adaptability, curiosity, and a collaborative mindset, with the ability to work effectively in a global, fast-paced engineering environment.
Benefits
- Remote flexibility: Fully remote working arrangement, offering flexibility in your work location.
- Global collaboration: The opportunity to work with international engineering teams on large-scale, mission-critical cloud infrastructure.
- Technical development: Hands-on exposure to advanced cloud technologies, distributed systems, modern SRE practices, and AI-powered operational tools.
- Innovation-driven environment: Opportunities to contribute ideas, influence product improvements, and build solutions that enhance platform reliability.
- Inclusive workplace: A diverse and supportive environment that values different perspectives, encourages curiosity, and celebrates individuality.
- Equal opportunities: A commitment to fair employment practices and an inclusive recruitment process.
- Accessibility support: Reasonable accommodations are available to candidates who require assistance during the recruitment process.