System Scaling Specialist

1 week ago


Tirupati, India beBeeReliability Full time

Site Reliability EngineerAbout InstaService:We are revolutionizing the home services industry through AI-driven technology. Our platform connects customers with trusted professionals instantly, growing fast across multiple states and expanding nationwide.We seek a Senior Site Reliability Engineer to join our core engineering team and scale our infrastructure to serve millions of users reliably.Lead incident response, conduct root cause analysis, and ensure permanent preventive measures.Design and optimize CI/CD pipelines, automate deployments, and enforce release stability.Build and manage scalable infrastructure on cloud platforms using Terraform, Ansible, and Kubernetes.Continuously monitor system health with Prometheus, Grafana, ELK, and CloudWatch.Conduct load and performance testing and optimize systems for high-traffic events.Improve observability, reduce alert noise, and enhance signal clarity for faster debugging.Collaborate with developers and architects to ensure systems meet service level objectives, service level indicators, and service level agreements.Develop automation scripts and tools to streamline operations.Manage distributed systems and message queues like Kafka or RabbitMQ.Drive a culture of reliability, automation, and scalability across teams.Requirements:4–7 years of experience in SRE or DevOps roles (preferably in high-scale or e-commerce environments).Strong hands-on experience with Kubernetes, Docker, Terraform, Ansible, and CI/CD pipelines.Deep understanding of Linux systems, networking, and distributed architecture.Solid programming skills in Python, Go, or Node.js.Experience managing cloud platforms (AWS, GCP, or Azure).Proven track record of maintaining production uptime and optimizing system performance.Nice to Have:Experience with observability stacks, distributed tracing, and incident automation.Familiarity with microservices and event-driven systems.Exposure to cost optimization and capacity planning in multi-cloud environments.



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