Senior Site Reliability Engineer

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.  

• Own the Kubernetes-aware patching path: cordon/drain/uncordon coordination, etcd quorum gating, per-cluster lock prioritisation, and deadlock prevention — the team's most technically demanding active work area.
• Own cluster onboarding end-to-end and drive lead time from weeks to days; identify friction points, document repeatable steps, and build runbooks so each successive onboarding is faster than the last.
• Own the Vault integration surface: AppRole credential management, PKI certificate lifecycle, Vault-backed AWX credential types, and IAM key rotation toward a clean, maintainable credential model with solid test coverage.
• Build meaningful alerting so the team learns about patching failures from dashboards — not customer tickets. Own at least one Grafana dashboard area end-to-end: metrics ingestion through actionable alert rules. Contribute to AI/automation initiatives including the AI-driven vulnerability remediation pipeline and other tooling that reduces toil for the whole team.
• Mentor junior contributors among colleagues, participate in code review, and contribute to architectural decisions alongside Staff leads. Participate in the on-call rotation and own incident response independently at the Senior level — timeline, communication, and blameless postmortem.

• 7+ years of hands-on Site Reliability Engineering or infrastructure engineering experience in a production environment.
• Ansible — strong practitioner: writes idempotent roles and playbooks independently, understands variable precedence, handlers, and molecule-style testing.
• Linux systems administration — yum/dnf, systemd, kernel patching, and diagnosing package conflicts; the platform patches Linux hosts and this is non-negotiable.
• Kubernetes — operational depth: pod scheduling, node lifecycle, and etcd quorum awareness; not just running kubectl apply.
• Terraform / IaC — able to read, modify, and write modules configured through variable files; cluster provisioning work requires IaC literacy.
• Python scripting — enough to own and extend utility scripts and the machine learning-based vulnerability pipeline.
• GitHub Actions and CI pipelines — comfortable with ansible-lint, Semgrep gates, and conventional commit standards.
• On-call and incident response — prior rotation experience; able to own an incident independently. AI-assisted development — team co-authors commits with AI tools daily; active participation is encouraged, not optional.
• SLI / SLO literacy — able to contribute to defining and instrumenting service-level objectives as the team formalizes its reliability framework.

• HashiCorp Vault — AppRole, PKI, or dynamic secrets; Vault responsibilities are ongoing on the team. AWX / Automation Controller operational experience — not required but accelerates ramp.
• ServiceNow — CMDB, Change Orders, or REST API integration.
• Grafana / Loki / Prometheus — building dashboards and alert rules.
• MySQL replica awareness — replica detection precheck work is active.
• HAProxy or LB-aware drain logic — relevant to concurrent patching coordination.
• OpenStack or comparable private cloud / bare-metal exposure. Experience identifying and reducing process lead time — handoff delays, wait states, or manual steps that can be automated.

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.