Responsibilities

• Define and maintain SLIs/SLOs, monitor alignment and error budget usage
• Lead incident response and postmortems, implement corrective measures
• Automate operations tasks via tooling (e.g. auto-remediation, scaling rules)
• Build, improve, and maintain CI/CD pipelines, canary deployments, blue/green strategies
• Lead technical discussions with customers to align on reliability, scalability, and performance requirements
• Drive continuous platform improvements across the service lifecycle, including architecture, monitoring, and operational processes
• Implement and extend observability systems (metrics, tracing, log aggregation)
• Optimize performance and cost by tuning cloud services, autoscaling, resource rightsizing
• Design, deploy, and operate containerized workloads using Docker and Kubernetes in production environments
• Collaborate with dev teams to integrate ...