Demonstrable, hands-on experience applying core DevOps and SRE principles Deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review Expertise in one or more major public cloud providers (AWS, GCP, or Azure) In-depth knowledge of container technologies, specifically Docker Extensive experience orchestrating containers at scale using Kubernetes (K8s) Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines Experience owning, managing, and maintaining mission-critical operational tooling Proven background in implementing and managing centralised logging solutions or similar platforms (desirable) Familiarity with distributed tracing tools and Application Performance Monitoring (APM) solutions (desirable)