# Staff Site Reliability Engineer at GoDaddy

> Own the multi-data-center architecture of the Linux patching automation platform and lead its AI-assisted vulnerability remediation pipeline to production.

- Company: GoDaddy (careers.godaddy)
- Location: India
- Places: India
- Posted: 2026-11-05
- Level: Staff
- Team: Enablement
- Work mode: Remote
- Apply: https://careers.godaddy/jobs?gh_jid=8035959003
- Page: https://ye.saranatour.dev/jobs/staff-site-reliability-engineer-godaddy-kn7f36fwjfsha8sprfa887jxa58hqe63

## The posting

Staff Site Reliability Engineer
GoDaddy · India

**Location Details:****Remote, India**

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

**Join Our Team...**The Enablement team builds and operates the Linux Patching Automation (LPA) platform — a multi-cluster AWX automation system that patches every Linux host across GoDaddy's fleet. What started as a single-DC patching tool is now a multi-cluster, AI-integrated remediation system spanning multiple data centers. The team owns observability tooling (Loki, Mimir, Grafana, Alloy), ServiceNow integrations, and a system designed to identify and address vulnerabilities!
We need a Staff Engineer whose scope matches the platform's. This role owns the Automation Mesh multi-DC architecture, takes the AI-assisted vulnerability remediation pipeline from MVP to production, and establishes LPA's first service-level objectives and error budget framework. At this level you determine your own methods and procedures, shape the roadmap, and are the recognized technical voice for LPA across partner teams!

**What you'll get to do...**

- Own the Automation Mesh multi-DC architecture — failure domain reasoning, distributed locking, graceful degradation, and concurrency with LB-aware draining across data centers.
- Take the AI-assisted vulnerability triage and remediation pipeline from MVP to production: define triage accuracy SLOs, implement guard rails against mis-classified CI types, and expand coverage beyond the initial OS vulnerability scope.
- Own and drive down LPA onboarding lead time — establish cluster provisioning patterns, self-service runbooks, and a clear onboarding contract so what currently takes weeks completes in days. Define and own the platform's testing strategy — unit tests, molecule tests, and Execution Environment smoke-test contracts; close the open architectural decision on integration testing and build the foundation that lets the platform scale without quality regressions.
- Evolve LPA dashboards to fully replace legacy compliance reporting tooling; build alerting that surfaces patching SLA risk before it becomes a vulnerability ticket. Define LPA's first service-level objectives — patch delivery latency, automation success rate, alert-to-remediation lead time — and instrument them against an error budget, transforming LPA from a best-effort automation tool into a reliability-accountable platform.
- Mentor engineers on the team, lead cross-functional program delivery, and communicate architectural decisions to platform consumers and partner teams. Lead the team's AI tooling practice — co-authoring commits with LLMs is the team norm; the Staff Engineer sets the standard for how it's done.

**Your experience should include...**

- 10+ years of hands-on SRE, platform engineering, or infrastructure engineering experience, including Staff or Principal-level scope.
- Ansible at scale — roles, collections, Execution Environment container builds, and lint pipelines; designing reusable role libraries, not just running playbooks.
- AWX / Ansible Automation Platform — Automation Mesh, Execution Environments, RBAC, and credential types; must have owned the platform at the architecture level, not just consumed it.
- Terraform / IaC — full infra-as-code lifecycle: cluster provisioning via tfvars-driven modules on OpenStack or comparable private cloud.
- Kubernetes / K3s operatio