Senior Site Reliability Engineer (Night Shift)

We are looking for an experienced Site Reliability Engineer (SRE) to join our team. The ideal candidate will be responsible for ensuring high availability, scalability, performance, and reliability of our platform while driving automation and operational excellence across cloud-native environments.

This role offers an opportunity to work at the core of production reliability for a globally used platform. The position is being created to establish dedicated India-based night-time SRE coverage aligned with US business hours, addressing a critical support gap.

The SRE will play a key role in owning production incidents, improving system reliability, reducing MTTR, and driving automation across a modern cloud-native stack (Azure, Kubernetes, Kafka, etc.). This is a high-impact role with direct visibility into business-critical operations and opportunities to work on large-scale distributed.

• Design, implement, and manage scalable and highly available systems on Azure Cloud
• Monitor system performance, troubleshoot issues, and ensure uptime and reliability
• Manage and optimize Kubernetes clusters and containerized workloads (Docker)
• Build and maintain robust CI/CD pipelines using GitHub Actions and related tools
• Implement infrastructure as code and deployment automation using Helm Charts
• Work with distributed systems such as Kafka, Redis, PostgreSQL, Hadoop/HDFS
• Configure and manage Cloudflare for performance, security, and traffic routing
• Set up monitoring, alerting, and observability using tools like Grafana
• Collaborate with development teams to improve system reliability and deployment practices
• Perform root cause analysis (RCA) and implement preventive measures
• Ensure security best practices and compliance across infrastructure

• 6–12 years of experience in SRE/DevOps or related roles
• Strong hands-on experience with Azure Cloud services
• Solid experience in Linux system administration
• Expertise in Docker and Kubernetes (deployment, scaling, troubleshooting)
• Experience with Kafka, Redis, and PostgreSQL
• Working knowledge of Hadoop ecosystem (HDFS, Hadoop)
• Experience with Cloudflare (CDN, security, DNS management)
• Proficiency in CI/CD tools (GitHub, GitHub Actions)
• Experience in Helm Charts and Kubernetes deployments
• Strong understanding of monitoring and logging tools (Grafana, etc.)

• Experience with large-scale distributed systems
• Knowledge of infrastructure automation tools (Terraform, Ansible etc.)
• Exposure to security and compliance best practices
• Strong problem-solving and troubleshooting skills
• Databricks , Clickhouse  and ML Ops exposure

 

• Opportunity to work on cutting-edge cloud and distributed systems
• Exposure to large-scale, high-impact platforms
• Collaborative and innovation-driven environment