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Staff Software Engineer - SRE

Mountain View, CA, United States

Come join the QuickBooks Online Platform team in Small Businesses & Self-Employed Group at Intuit to help us manage & scale our infrastructure behind our flagship products. We are looking for a passionate Software Engineer with experience on the DevOps/SRE side working on Docker, Kubernetes and AWS technologies. This position will be responsible for designing, developing, building, integrating, and managing enterprise level Cloud systems with complex inter dependencies and high availability, security, performance, scalability and cost optimization requirements.

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

Bachelor’s or master’s degree in computer science or a related technical field.

8+ 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

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