Mid Cloud Observability Engineer
Experian
$0-$0 / yr
Salary
brazil
Region
ASAP
Start Date
About Experian
Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in diverse markets such as financial services, healthcare, automotive, agribusiness, insurance, and more. Experian invests in people and advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries. Our uniqueness is valuing yours. Experian's people-centric, inclusive, and purpose-driven culture is recognized by numerous awards — including World’s Best Workplaces™ 2025 (Fortune's Top 25 global) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers website to understand why. Experian is also proud to be an equal opportunity employer and an affirmative action employer. If you have a disability or need that requires accommodation, please let us know as soon as possible.
About this Role.
A cloud observability engineer’s day is about making complex systems understandable, improving signal quality, and enabling faster, smarter debugging across teams.
Check system heathy, review alerts/incidents.
Triage alerts
Investigate issues
Improve observability instrumentation
Build and improve dashboards
Alert optimization
Work with development teams and other engineering partners.
Continuous improvements.
Release support.
Observability & Monitoring
Design and implement observability frameworks using metrics, logs, and distributed tracing
Develop dashboards, alerts, and visualizations to monitor system health
Standardize observability practices across engineering teams (logging, telemetry, tracing)
Implement and manage native monitoring tools.
Amazon CloudWatch (metrics, logs, alarms, dashboards)
AWS X-Ray (distributed tracing)
AWS Distro for OpenTelemetry (ADOT)
Detection & Response
Build alerting systems (avoid alert fatigue)
Participate in on-call rotations
Build intelligent alerting using
Improve System Reliability/ proactively reduce risk
Identify reliability risks to help harden systems against failure
Reduction in alert noise / false positives
Increased observability coverage (% of services instrumented)
Improved SLO compliance
Instrumentation & Telemetry Engineering
Embed observability into applications
Add tracing/metrics into code
Standardize logging formats
Ensure all services are observable end-to-end
Microservices (EKS, ECS)
Serverless (Lambda, API Gateway)
Data services (RDS, DynamoDB, S3)
Collaboration Across Teams
Development
Platform/infra teams
Security & operations
Requirements
SRE, DevOps, or Cloud Engineering
Cloud platforms AWS
Experience in AWS services including
CloudWatch, X-Ray, Lambda
ECS/EKS, API Gateway
RDS, DynamoDB, S3
Hands-on with experience with an observability tool
Dynatrace
Splunk
Datadog
OpenTelemetry
Prometheus, Grafana
AWS Distro for OpenTelemetry
Strong understanding of:
Containers & orchestration (Docker, Kubernetes)
CI/CD pipelines
Infrastructure as Code (Terraform, CloudFormation)
Monitoring/observability tools
Nice to have
Experience building observability platforms at scale in AWS
Familiarity with multi-account AWS environments
Experience with cost optimization for observability (logging/metrics ingestion)
Experience in high-scale distributed system