We are seeking Observability Engineers to help standardize and enhance our observability practices following a major platform consolidation. You will work closely with internal engineering teams and our vendor migration partner to unify monitoring, logging, and alerting across the organization. This role is critical to building a consistent, enterprise\-wide observability experience that improves reliability, performance, and proactive detection. Key Responsibilities * Design and implement a Universal Dashboard in Grafana for leadership and engineering visibility. * Ensure a consistent look and feel across all observability views. * Define and implement SLIs, SLOs, and error budgets for critical services. * Establish alerting thresholds and escalation workflows aligned with reliability goals. * Integrate anomaly detection and AI\-assisted insights into the observability platform. * Contribute to self\-healing workflows and automated remediation strategies. * Partner with engineering teams to instrument services with metrics, logs, and traces. * Provide documentation and best practices for observability adoption across teams. Required Skills \& Experience * **5\+ years in observability, monitoring, or reliability engineering roles.** * Hands\-on experience with common **observability tools** such as Prometheus, Grafana, Splunk, Coralogix, and external monitoring tools (e.g., Catchpoint, ThousandEyes). * **Strong scripting skills** **in Python, plus Bash or PowerShell for automation.** * Experience with Terraform and Ansible for infrastructure automation. * Solid understanding of SLIs, SLOs, error budgets, and reliability engineering principles. * Familiarity with Linux environments and distributed systems. Preferred Skills * Knowledge of AI/ML\-based anomaly detection and AIOps platforms. * Experience with log ingestion pipelines (Opentelemetry, Fluentd). * Additional languages (Python, Go, Java). * Hands\-on pipeline experience with GitHub Actions \#Linkedin \#Argentina \#Mexico