Site Reliability Engineer

Nityo Infotech - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

Professional, Scientific, and Technical Services

About the position

The Site Reliability Engineer (SRE) role focuses on designing, implementing, and maintaining complex data systems that support millions of customers. The position emphasizes the application of Cloud Native principles and best practices to ensure that database systems are highly available, secure, performant, and scalable. The SRE will also engage in operational tasks, including on-call support for production systems, contributing to infrastructure changes, and automating processes to enhance developer productivity.

Responsibilities

• Design, implement, and maintain complex data systems supporting millions of customers with Cloud Native principles and best practices.
• Build and maintain CI/CD pipelines in Jenkins.
• Build and deploy services in Kubernetes cluster using helm, kustomize, etc.
• Contribute to infrastructure changes to AWS with deep understanding of AWS services.
• Engage in on-call for pre-production and production systems supporting multi-million users.
• Write/Review RCA docs to prevent recurrence of Incidents in future and share the learnings.
• Contribute to major system upgrades, deployment automation, monitoring enhancements and Production changes.
• Create operational playbooks, contribute to how-to articles, and gain domain knowledge to drive changes in the team.
• Participate and contribute in FMEA/Chaos testing, Security remediations, etc.
• Share best practices and patterns for operational excellence and cost optimization.
• Reduce or eliminate manual steps by automating as much as possible.
• Continuously look for opportunities to increase developer velocity and productivity.

Requirements

• Bachelor's or master's degree in computer science or a related technical field. Equivalent experience will be considered.
• 4+ years of hands-on development & operational experience with building and maintaining infrastructure in AWS.
• Extensive performance monitoring, troubleshooting & tuning experience.
• Experience with AWS services and hands-on knowledge of hosting on Cloud.
• Experience with scripting languages for DevOps automation.
• Experience with any one of the programming languages: Java/Python/Ruby.
• Knowledge of Docker & Kubernetes, ArgoCD.
• Experience with monitoring and observability using Splunk, Wavefront, AppDynamics, Prometheus, Tracing, etc.