Site Reliability Engineer – Scalable Cloud & Automation

Arista Networks; Dublin; On-site; EUR 100,000 - 140,000; Full time

Job summary

Arista Networks is seeking a versatile engineer to join the Engineering Productivity (EngProd) team. You will help maintain and support our expanding infrastructure and internal user base in a hybrid cloud environment.

The role requires collaboration with product development teams to design, build, and operate secure, scalable systems using industry-standard tools. The ideal candidate will wear multiple hats, show a passion for learning, and contribute to automation, monitoring, and incident

Qualifications

• BSc/MS in Computer Science or Engineering or equivalent work experience.
• Knowledge of Go, Python, or shell scripting for automation.
• Linux/UNIX administration and debugging skills.
• Hands-on experience operating software systems at scale.
• Experience with infrastructure-as-code.

Responsibilities

• Build, deploy, and operate critical production systems with focus on scalability and security.
• Automate toil and improve monitoring and alerting.
• Create and maintain incident response runbooks and postmortems.
• Plan maintenance windows and coordinate with vendor support.
• Collaborate with product development teams to remove bottlenecks and improve workflow.
• Adopt best practices for secure, scalable infrastructure design.

Skills

Go

Python

Shell scripting

Linux/UNIX

Education

BSc Computer Science or Engineering

MS Computer Science or Engineering

Tools

Ansible

Docker

Kubernetes

Artifactory

ElasticSearch

Jenkins

MySQL

Google Cloud

Perforce

Job description

Arista Networks is seeking a versatile engineer to join the Engineering Productivity (EngProd) team. You will help maintain and support our expanding infrastructure and internal user base in a hybrid cloud environment.

The role requires collaboration with product development teams to design, build, and operate secure, scalable systems using industry-standard tools. The ideal candidate will wear multiple hats, show a passion for learning, and contribute to automation, monitoring, and incident