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 — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We are Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What you will be doing 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. What you bring 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. Bonus Points 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. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. A