• Validate deployment artifacts from an operational perspective, enforce strict quality assurance measures, and ensure robust rollback strategies and observability are in place for production deployments • Monitor system health, performance metrics, and service availability across multi-tenant environments to ensure stability and responsiveness • Identify, analyze and resolve incidents swiftly to minimize disruption, triggering root cause analyses and implementing preventive actions • Reduce operational toil by automating recurring standard processes and validating procedures through a structured software development lifecycle • Implement comprehensive logging and monitoring strategies to support audit requirements, perform routine security scans, and remediate identified vulnerabilities

• Lead the validation of deployment artifacts from an operational standpoint • Monitor system health, performance metrics, and service availability • Direct root cause analyses and implement corrective and preventive actions • Reduce operational toil by automating recurring remedial processes • Implement comprehensive logging and monitoring strategies

• Design, development, and implementation of Confidential Computing at the hypervisor level. • Design and maintain Exoscale’s operating systems and hypervisor fleets, from kernels to the network stacks, including security filtering layers. • Contribute to the routing & security automation systems implementations. • Help shape our operating system images strategy, from bare metal to Virtual Machines. • Maintain and improve the system container runtimes. • Improve our provisioning and deployment systems. • Help improve bare metal and hypervisor systems performance. • Contribute to the overall design and the architecture of the Exoscale platform systems. • Contribute to internal tooling development. • Improve our systems and processes to be scalable and highly available, helping achieve outstanding SLAs. • Participate in code & changes reviews. • Take part in the on-call rotation after a training period.

• Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments. • Develop dashboards, alerts, and telemetry frameworks to provide real-time visibility into system health and performance. • Build automation solutions to eliminate repetitive operational tasks and improve efficiency. • Enable runbook automation, self-healing capabilities, and automated incident triage workflows. • Define and implement SLIs, SLOs, and alerting strategies to improve service reliability. • Drive improvements in MTTD and MTTR through actionable alerts and telemetry-driven insights. • Implement proactive monitoring, anomaly detection, and predictive alerting to identify issues before customer impact. • Leverage AIOps capabilities for alert correlation and intelligent incident response. • Integrate observability platforms with CI/CD pipelines, cloud services, and ITSM tools such as ServiceNow. • Collaborate with engineering, product, and operations teams to establish observability standards and operational readiness practices.