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Site Reliability Engineer

  • Full Time, onsite
  • Nityo Infotech Corporation
  • On Site Hybrid, United States of America
Salary undisclosed

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Responsibilities:

  • Design, implement, and maintain complex data systems supporting millions of customers with Cloud Native principles and best practices to ensure highly available, secure, performant and scalable database systems
  • 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

Qualifications

  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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