Site Reliability Engineer (Hosted Infra) - Platform

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. The Site Reliability Engineer role focuses on integrating, scaling, and evolving multi-cloud infrastructure while improving reliability through automation and effective monitoring.

Responsibilities:

• Engineering software to automate large-scale systems — building internal tools and services, not just running scripts
• Optimizing the reliability and lifecycle of hosts across multiple cloud providers
• Strengthening our observability posture — crafting alerting and monitoring systems that drive incident prevention over incident response
• Scaling global infrastructure and evolving the infrastructure management processes to meet growing demand
• Contributing to code reviews, sharing your work, planning what we need to do next, and both mentoring and being mentored by teammates
• Being part of a balanced SRE on-call rotation: responding to incidents, improving runbooks, participating in postmortems, and championing reliability improvements

Requirements:

• Experience building software with Golang. You are also comfortable reviewing others' code and offering constructive feedback
• Production experience operating large-scale cloud compute (hundreds of hosts or more) via automated workflows
• Deep experience with Linux systems — you are at home in the terminal debugging at the OS level
• Proficiency working with containerized workloads in production
• A customer-first, systems-thinking approach to operational problems — you care about root causes, not just symptoms
• Comfortable working across time zones in both real-time and asynchronous contexts
• You contribute clear and maintainable documentation such as software designs, runbooks, architecture diagrams/decisions, postmortems, etc
• You communicate project status regularly and clearly, flag blockers early, and follow through on action items
• A sensible approach to AI integration — identifying where AI tools genuinely reduce operational burden and embedding them into workflows without adding complexity
• Production experience with any of: Terraform, Puppet, Ansible, Argo CD, Argo Workflows, CUE, Docker, Kubernetes, Ubuntu, or Ubuntu Live Patch
• Experience being on-call during incidents and using observability tools (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues, quantify impact, and confirm mitigations
• Hands-on experience engineering solutions with the Elastic Stack