Mid Cloud Observability Engineer

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

At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

Come be part of this transformation!

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