Site Reliability Engineer - Observability
CVS Health2 days ago
Galway, IrelandEntry Level
Responsibilities
- Drive adoption of CI/CD, Infrastructure as Code, GitOps, platform engineering, and release automation practices.
- Define and implement enterprise-wide SRE practices, including SLIs, SLOs, error budgets, reliability governance, and system health metrics.
- Lead AIOps capabilities for predictive monitoring, anomaly detection, event correlation, automated root cause analysis, and intelligent alerting.
- Design and build observability frameworks for metrics, logs, traces, events, instrumentation, telemetry collection, and distributed tracing.
- Develop internal observability, monitoring, and performance-optimization platforms and integrate reliability checks into CI/CD pipelines.
- Participate in incident triage, on-call readiness, root cause analysis, postmortems, runbooks, playbooks, and automated escalations.
- Partner with engineering, platform, and product teams to embed reliability and observability into system design.
- Provide technical leadership, influence cross-functional initiatives, and mentor teams in reliability, automation, and observability practices.
Requirements
- At least 1 year of experience in software engineering, SRE, or production engineering for large-scale distributed systems.
- Hands-on experience with observability tools such as AppDynamics, Grafana, Prometheus, Datadog, or OpenTelemetry.
- Experience with AIOps or intelligent monitoring platforms, including anomaly detection and event correlation.
- Strong expertise with AWS, Azure, or GCP; Kubernetes, containers, and microservices; and CI/CD pipelines such as GitHub Actions or Jenkins.
- Proficiency in at least one programming language, such as Python, Java, or Go.
- Understanding of distributed systems, resiliency patterns, and fault tolerance, plus experience with incident management, on-call processes, and root cause analysis.
- Hands-on Infrastructure as Code expertise with Terraform, ARM, or CloudFormation.
- Experience with GenAI or automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, or MCP.
- Ability to design scalable, reliable, and observable systems.
- Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or a related discipline.
- Preferred qualifications include machine learning applications in IT operations, large-scale SLI/SLO and error-budget management, chaos engineering and resilience testing, GenAI-driven operations, cross-functional technical leadership, and open-source contributions in SRE, observability, or AIOps.
- Certifications in AIOps, SRE, OpenTelemetry, cloud platforms, or DevOps are preferred.
Benefits
- The stated pay range is €35,000.00–€90,000.00.
- The application window is expected to close on 15/09/2026.
Tech Stack
AWSAzureDatadogGitHub ActionsGoGoogle Cloud PlatformGrafanaJavaJenkinsKubernetesPrometheusPythonTerraform
Categories
DevOpsSite Reliability
About CVS Health
CVS Health is the leading health solutions company, delivering care like no one else can. We reach more people and improve the health of communities across America through our local presence, digital channels and over 300,000 dedicated colleagues. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by simplifying health care one person, one family and one community at a time. Follow @CVSHealth on social media.