Senior Site Reliability Engineer - Cloud Platform

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EngineeringDevops Engineer

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Quick Summary

Overview

Location Details: At GoDaddy, the future of work looks different for each team.

Technical Tools

EngineeringDevops Engineer

At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable.

We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business.

Responsibilities

~1 min read

→Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations.
→Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices.
→Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact.Improve observability through monitoring, alerting, dashboards, and operational tooling.
→Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews.
→Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture.
→Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers.
→Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operational toil.

5+ years of experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or a similar role supporting production AWS environments.
Strong Python development skills with experience building automation, services, or platform tooling.
Hands-on experience with Infrastructure as Code, including CloudFormation and/or AWS CDK.
Experience operating core AWS services including IAM, VPC networking, EC2, Lambda, and managed storage or database services.
Strong Linux systems administration, troubleshooting, incident response, and production operations experience.

Experience operating AWS environments across multiple accounts or AWS Organisations.
Experience with AWS networking technologies such as Transit Gateway, IPAM, or BYOIP.Cloud cost optimisation or FinOps experience.
Experience with CI/CD pipelines and GitOps-style deployment practices.
Familiarity with AI-assisted engineering workflows and tooling.
Exposure to policy-as-code, compliance automation, or cloud governance tooling.

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.