• Build, maintain, and optimize secure, scalable AWS infrastructure supporting production applications • Design and implement Infrastructure as Code using Terraform, Terragrunt, Ansible, and related automation tools • Develop and maintain CI/CD pipelines to enable reliable and automated software delivery • Manage containerized workloads using Kubernetes, Docker, and Helm • Improve system observability by implementing monitoring, logging, and alerting solutions • Troubleshoot infrastructure and production issues, performing root cause analysis and implementing long-term improvements • Collaborate closely with software engineers to integrate DevOps best practices throughout the development lifecycle • Optimize cloud infrastructure for performance, reliability, security, and cost efficiency • Leverage AI coding assistants to accelerate infrastructure development, automation, and operational troubleshooting

Role 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. 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 - 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 Qualifications - 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 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 systems Benefits - Diversity initiatives to support inclusive recruitment and professional development - Affinity groups for underrepresented communities: - ExperianPride (LGBTQIAPN+ community) - Ubuntu (racial equity) - Women in Experian (gender equity) - Aspire (people with disabilities) - Connecting Generations (generations)

Role Description The mission of a Product Reliability Engineer is to ensure cloud products and services are reliable, observable, scalable, secure, and resilient, so customers can depend on EMS consistently while engineering teams can innovate. - Protect the customer through high availability, fast response times, and consistent performance with minimal service disruptions. - Success is measured by uptime, latency, reliability, and customer satisfaction. - Build reliability into the product by identifying reliability risks early and influencing architect decisions. - Establish reliability requirements and validate system behavior under failure conditions. - Create operational excellence, increase system resilience, and drive continuous improvements. Qualifications - Experience with observability. - Knowledge of distributed system architecture. - Experience supporting high-availability environments. - Familiarity with security, compliance, and cloud governance frameworks. Requirements - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - 2–5 years of experience in IT operations, Site Reliability Engineering (SRE), DevOps, Platform Engineering, Production Engineering, or Cloud Operations. - Experience with designing and implementing reliability engineering practices for cloud-native applications. - Experience with cloud platforms (AWS and GCP). - Familiarity with operating systems (Linux and/or Windows). - Basic scripting skills (PowerShell, Python, Bash, etc.). - Experience working with incident management processes and tools. - Understanding of distributed systems and cloud-based architectures. - Knowledge of system performance tuning and troubleshooting techniques. - Experience with reliability tools. - Strong troubleshooting, data analysis, and technical communication skills. - Experience with Infrastructure as Code tools such as Terraform. - Knowledge of monitoring and observability platforms. - Advanced English. Benefits - 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. - We promote several initiatives to support inclusive recruitment and the professional development of our people. - Affinity groups 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).

• Lead development of data solutions, pipelines, and API-driven database components • Drive high‑volume data processing and enterprise data architecture efforts