Mid Cloud Observability Engineer

Role Overview

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

Experience and Skills

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

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.

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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