Senior Cloud SRE for Scalable SaaS Platform

Devopsroles; Dublin; Hybrid; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Travel opportunities

Professional development

Job summary

Guidewire is seeking a Senior Site Reliability Engineer to join our Platform team in Dublin. You will automate multi-tenant SaaS infrastructure, scale AWS, and build tooling for 24x7 operations across Guidewire’s cloud platform and InsuranceSuite products.

You’ll collaborate with core product developers to meet availability, performance and observability goals while applying a disciplined, data-driven approach to reliability and incident response.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Proficient in Bash, Python, and/or Go for automation.
• Strong understanding of agile methodologies (Scrum, Kanban).
• Extensive Linux engineering and AWS experience.
• Production support of a SaaS platform with microservices.

Responsibilities

• Take a purist SRE approach to multi-tenant infrastructure and SaaS platforms.
• Oversee and automate AWS-scale operations for the team.
• Develop tooling for 24x7x365 follow-the-sun support.
• Automate deployment tasks and maintain automation infra.
• Improve incident management with SLOs and postmortems.
• Collaborate with product teams and contribute code when needed.

Skills

Bash

Python

Go

AWS

Docker

Kubernetes

SAML/OAuth

Terraform

GitOps

Datadog/CloudWatch

Kafka

Open Application Model

Education

Bachelor’s Degree in Computer Science or related field

Tools

Terraform/Terragrunt/Terraspace

Git, Bitbucket, Flux CD, TeamCity

Docker

Kubernetes/EKS

Job description

Guidewire is seeking a Senior Site Reliability Engineer to join our Platform team in Dublin. You will automate multi-tenant SaaS infrastructure, scale AWS, and build tooling for 24x7 operations across Guidewire’s cloud platform and InsuranceSuite products.

You’ll collaborate with core product developers to meet availability, performance and observability goals while applying a disciplined, data-driven approach to reliability and incident response.