Senior Observability Analyst

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Serve as the technical and functional reference point for the Datadog platform within the organization.

• Design, implement, and enhance observability solutions utilizing APM, Infrastructure Monitoring, Logs Management, Dashboards, RUM, Synthetic Monitoring, and Continuous Testing.

• Establish corporate observability standards for applications, APIs, microservices, and cloud workloads.

• Create and maintain executive, operational, and analytical dashboards.

• Develop proactive monitoring strategies based on SLIs, SLOs, SLAs, and business metrics.

• Create, evaluate, and optimize monitors and smart alerts to minimize operational noise and false positives.

• Assist in application instrumentation using OpenTelemetry and native Datadog integrations.

• Lead root cause analysis for critical incidents and recommend preventive measures.

• Identify opportunities for automation, failure prediction, and self-healing.

• Produce training materials, playbooks, standards, and documentation on Datadog.

• Regularly assess capacity, performance, availability, and end-user experience.

• Foster a culture of observability and operational excellence.

• Collaborate with Engineering, Architecture, Development, SRE, and Operations to identify risks early and reduce incidents.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields.

• Extensive experience with Datadog in implementing, administering, and evolving the platform.

• Practical experience with Datadog APM, Infrastructure Monitoring, Logs Management, Dashboards, Monitors, and Monitoring Service Catalog.

• Advanced understanding of logs, metrics, and distributed tracing.

• Experience in observability for APIs and microservices architectures.

• Familiarity with AWS environments.

• Proven ability to troubleshoot and investigate complex incidents.

• Knowledge of OpenTelemetry and application instrumentation.

• Automation skills in Python, Shell Script, or PowerShell.

• Experience with Kubernetes, Docker, and cloud-native ecosystems.

• Strong grasp of system availability, performance, scalability, and reliability.

• Ability to translate technical metrics into business impact.

• Datadog Certified Associate certification or higher (preferred).

• Experience with SRE practices (preferred).

• Knowledge of CI/CD and DevSecOps (preferred).

• Experience with Dynatrace, Grafana, Prometheus, Elastic Stack, or Zabbix (preferred).

🏝️ Benefits

• Remote work options.

• Opportunities for professional development.

• Membership in the Women in Experian group.

• An inclusive, purpose-driven workplace.

• Initiatives for affirmative action and gender equity.

• Involvement in creating a data-driven operation and achieving operational excellence.