Mid Cloud Observability Engineer

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• A cloud observability engineer’s day is about making complex systems understandable, improving signal quality, and enabling faster, smarter debugging across teams. • Check system health, 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. • 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. • 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 • Embed observability into applications • Add tracing/metrics into code • Standardize logging formats • Ensure all services are observable end-to-end

🎯 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) • 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

🏖️ Benefits

• Health insurance • Professional development opportunities