Mid Cloud Observability Engineer
Core
Design and implement observability frameworks using metrics, logs, and distributed tracing to make complex systems understandable and enable faster debugging across teams.
Role type
Mid-level Cloud Observability Engineer
Builds
Dashboards, alerts, visualizations, and observability instrumentation for microservices, serverless, and data services.
Domain
Cloud infrastructure, observability, and distributed systems
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
AWS services (CloudWatch, X-Ray, Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, S3), observability tools (Dynatrace, Splunk, Datadog, OpenTelemetry, Prometheus, Grafana), containers & orchestration (Docker, Kubernetes), CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation)
Preferred skills
Building observability platforms at scale in AWS, multi-account AWS environments, cost optimization for observability, high-scale distributed systems
Technologies
AWS, CloudWatch, X-Ray, Lambda, ECS, EKS, API Gateway, RDS, DynamoDB, S3, Dynatrace, Splunk, Datadog, OpenTelemetry, Prometheus, Grafana, Terraform, CloudFormation, Docker, Kubernetes
Responsibilities
Check system health and review alerts/incidents, triage alerts, investigate issues, improve observability instrumentation, build and improve dashboards, optimize alerts, work with development teams, participate in on-call rotations, identify reliability risks, embed observability into applications, standardize logging formats, ensure end-to-end observability
Seniority
Mid-level, hands-on IC
