Job
Description
Job Description Key Responsibilities Design and implement tools to improve availability, latency, scalability, and system health. Define SLIs/SLOs, manage error budgets, and drive performance engineering efforts. Build and maintain automated monitoring, alerting, and remediation pipelines. Collaborate with engineering teams to improve reliability by design. Lead incident response, root cause analysis, and blameless postmortems. Champion observability across services logs, metrics, traces. Contribute to infrastructure architecture, automation, and reliability roadmaps. Advocate for SRE best practices across teams and functions. Requirements 7-12 years of experience in SRE, DevOps, or Production Engineering roles. Coding Proficiency : Develop clear, efficient, and well-structured code. Linux Expertise : In-depth knowledge of Linux for system administration and advanced troubleshooting. Containerization & Orchestration : Practical experience with Docker and Kubernetes for application deployment and management. CI/CD Management : Design, implement, and maintain Continuous Integration and Continuous Delivery pipelines. Security & Compliance : Understand security best practices and compliance in infrastructure. High Availability & Scalability : Design and implement highly available, scalable, and resilient distributed systems. Infrastructure as Code (IaC) & Automation : Proficient in IaC tools and automating infrastructure provisioning and management. Disaster Recovery (DR) & High Availability (HA) : Deep knowledge and practical experience with various DR and HA strategies. Observability : Implement and utilize monitoring, logging, and tracing tools for system health. System Design (Distributed Systems) : Design complex distributed systems with a focus on reliability and operations. Problem-Solving & Troubleshooting : Excellent analytical and diagnostic skills for resolving complex system issues. Qualifications Technical Skills & Experience Extensive hands-on experience of 7-12 Years with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and distributed NoSQL systems
