6 days ago

Senior Site Reliability Engineer

TOPdesk

Delft

6 days ago

Apply

TOPdesk is seeking a Senior Site Reliability Engineer to own the reliability of its Azure SaaS estate, setting SLOs, eliminating toil, and building self-healing automation. The role involves leading incident response, consolidating observability, and embedding AI-native practices. Candidates need 5+ years of SRE/DevOps experience with Azure, Kubernetes, Terraform, and strong observability skills.

AI-enabledOn-siteFull-timeSeniorAzureKubernetes

Senior Site Reliability Engineer

Apply

AI-enabledOn-siteFull-timeSeniorAzure

Salary

Not specified

Work Location

Delft, South Holland, Netherlands, NL

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

AzureKubernetesHelmTerraformCI/CDGrafanaPrometheusVictoriaMetricsPythonLinuxPuppetAnsibleSLOsError budgetsIncident response

Soft Skills

CommunicationCollaborationProblem-solvingLeadershipMentoringTransparencyOpen feedbackWork-life balance

Preferred Qualifications

Technical (Nice-to-have)

Progressive deliveryAzure Cloud Adoption FrameworkClaude CodeEU data residency

Key Responsibilities

•Define and own SLOs and error budgets across the Azure estate
•Eliminate toil and implement self-healing automation
•Standardise observability (metrics, alerting, tracing) across datacenters
•Lead incident response and blameless postmortems
•Harden CI/CD and progressive delivery (canaries, safe rollouts, automated rollback)
•Model capacity and load-test critical paths
•Bring AI-native reliability (agents, bounded automation) into detection and remediation
•Maintain runbooks linked to automation candidates
•Own capacity and cost forecasting across the multi-cloud estate
•Collaborate proactively with product teams during design phases

Site Reliability EngineeringAzureKubernetesTerraformObservabilitySLOsAutomationAI-nativeSaaSSenior

Key Responsibilities

•Define and own SLOs and error budgets across the Azure estate

•Eliminate toil and implement self-healing automation

•Standardise observability (metrics, alerting, tracing) across datacenters

•Lead incident response and blameless postmortems

•Harden CI/CD and progressive delivery (canaries, safe rollouts, automated rollback)

•Model capacity and load-test critical paths

•Bring AI-native reliability (agents, bounded automation) into detection and remediation

•Maintain runbooks linked to automation candidates

•Own capacity and cost forecasting across the multi-cloud estate

•Collaborate proactively with product teams during design phases