Senior Site Reliability Engineer (m/f/d)

TOPdesk builds service management software used across education, healthcare, government, and manufacturing. We are 700+ colleagues in 8 offices worldwide. Founded over 30 years ago, we serve more than 10 million users worldwide and have been helping organisations deliver better services ever since. We are an open, collaborative organisation with little hierarchy — people own their work end to end and are trusted to make the decisions that matter. We are reinventing ITSM and ESM for the agentic era, building AI agents our customers can trust, and this role is part of that.  About the role Our Azure SaaS estate keeps service management running for thousands of organisations worldwide, under SLA-backed 24/7 availability. As a Senior Site Reliability Engineer, you own the reliability of that estate as an engineering problem — you set the SLOs, engineer out the toil behind them, and make the platform faster to change and cheaper to operate without trading away resilience. You sit in the SaaS infrastructure function, working alongside cloud engineering and the product squads shipping to production. You bring our AI-native ways of working into reliability: agents and bounded automation with observability, approvals, containment, and rollback — self-healing systems, not runbooks worked by hand. What this is not  A ticket-driven, break-fix ops role kept away from the code. This is reliability as engineering — you own SLOs and error budgets, automate what you repeat, and design the platform to recover itself rather than reacting incident by incident. The team We are a group of social technicians who value transparency, open feedback, and a healthy work-life balance — and who treat reliability as a shared, measurable objective, not a firefight. What you'll own SLOs and error budgets. Define and own service-level objectives across the Azure (and potentially multi-cloud) estate, and use error budgets to steer the balance between shipping change and protecting reliability. Toil elimination and self-healing automation. Identify toil, classify it, and engineer it out — feeding self-healing automation and your findings into the reliability roadmap. Stand up an agent-based support layer that owns recurring toil and continuously feeds improvements back into reliability. Observability consolidation. Standardise metrics, alerting, and tracing across all datacenters, close coverage gaps on cloud workloads, and measurably reduce the alert-to-incident ratio from baseline. Incident response and blameless postmortems. Lead incidents to resolution, run blameless postmortems, and turn every learning into a durable fix or an automation candidate. Reliability of releases. Harden CI/CD and progressive delive...