Mid Cloud Observability Engineer

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

📋 Description

• A cloud observability engineer focuses on transforming complex systems into comprehensible formats, enhancing signal quality, and facilitating quicker, more intelligent debugging across teams.

• Monitor system health and assess alerts/incidents.

• Triage alerts effectively.

• Conduct thorough investigations of issues.

• Enhance observability instrumentation.

• Create and refine dashboards.

• Optimize alert processes.

• Collaborate with development teams and other engineering partners.

• Pursue continuous improvement initiatives.

• Provide release support.

• Design and establish observability frameworks utilizing metrics, logs, and distributed tracing.

• Develop dashboards, alerts, and visualizations for system health monitoring.

• Standardize observability practices across engineering teams (logging, telemetry, tracing).

• Implement and manage native monitoring tools.

• Create alerting systems to minimize alert fatigue.

• Participate in on-call rotations.

• Develop intelligent alerting to enhance system reliability and proactively mitigate risks.

• Identify reliability risks to fortify systems against failures.

• Achieve a reduction in alert noise and false positives.

• Increase observability coverage (% of services instrumented).

• Enhance SLO compliance.

• Integrate observability into applications.

• Incorporate tracing and metrics into the code.

• Standardize logging formats.

• Ensure all services are observable from end to end.

⛳️ Requirements

• Experience in SRE, DevOps, or Cloud Engineering.

• Proficiency in cloud platforms, specifically AWS.

• Familiarity with AWS services such as CloudWatch, X-Ray, Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, and S3.

• Hands-on experience with observability tools like Dynatrace, Splunk, Datadog, OpenTelemetry, Prometheus, Grafana, and AWS Distro for OpenTelemetry.

• Strong understanding of containers and orchestration technologies (Docker, Kubernetes).

• Knowledge of CI/CD pipelines.

• Experience with Infrastructure as Code (Terraform, CloudFormation).

• Ideally, experience in building observability platforms at scale within AWS.

• Familiarity with multi-account AWS environments.

• Experience in optimizing costs for observability (logging/metrics ingestion).

• Background in high-scale distributed systems.

🏝️ Benefits

• Health insurance.

• Opportunities for professional development.