Senior Site Reliability 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.

• →Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues
• →Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana
• →Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure
• →Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work
• →Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks
• →Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use

• 6+ years of professional experience in Site Reliability Engineering or Platform Engineering with demonstrated success leading organization-wide reliability programs
• Deep hands-on expertise with Kubernetes (deployments, operators, custom resources) and Docker in production environments
• Advanced Linux experience solving problems involving kernel internals, TCP/IP, DNS, and load balancers  
• Proficiency in Python for production-grade automation and scripting, with working knowledge of Bash
• Expertise in Ansible and at least one additional Infrastructure as Code tool such as Terraform or Pulumi, with hands-on mastery of Icinga, Prometheus, and Grafana
• Understanding of large language models, embeddings, and basic machine learning pipelines, with the ability to evaluate and integrate AI-ops tools into daily work

• Experience building and maintaining continuous integration and continuous delivery pipelines using Jenkins, GitLab CI, or GitHub Actions
• Demonstrated experience defining and managing Service Level Objectives, Service Level Indicators, and Service Level Agreements across production