Senior Site Reliability Engineer

Job Description Publicis Sapient is seeking a Senior Site Reliability Engineer to help build, operate, and evolve highly scalable, resilient, and secure cloud platforms supporting critical enterprise applications. As part of a large-scale cloud transformation initiative, you will partner closely with Engineering, DevOps, Platform, and Security teams to establish reliability practices, improve operational excellence, and ensure systems meet performance, availability, and scalability objectives. This is a hands-on technical leadership role requiring deep expertise in cloud infrastructure, Kubernetes, observability, incident management, and reliability engineering. You will drive technical decisions, influence engineering practices, and help teams design systems that are resilient by design. Responsibilities Your Impact Design and implement reliability strategies for distributed systems running across AWS and GCP. Define and measure Service Level Indicators (SLIs), Service Level Objectives (SLOs), and reliability metrics. Build and enhance observability solutions using monitoring, logging, tracing, and alerting platforms. Lead incident response, root cause analysis, and postmortem processes to improve system reliability. Collaborate with engineering teams to improve system performance, resiliency, scalability, and operational readiness. Automate operational processes and reduce toil through engineering solutions. Guide teams on reliability-focused architecture decisions, capacity planning, and non-functional requirements. Qualifications Skills & Experience 7+ years of experience in Site Reliability Engineering, Cloud Engineering, DevOps, or Platform Engineering. Strong experience supporting production systems in AWS and/or GCP environments. Deep understanding of SRE principles, including SLIs, SLOs, error budgets, and operational excellence. Experience operating and troubleshooting Kubernetes platforms such as EKS and/or GKE. Strong knowledge of observability tools such as Prometheus, Grafana, CloudWatch, Cloud Monitoring, Datadog, Splunk, or similar. Experience with Infrastructure as Code tools such as Terraform. Strong scripting and automation skills using Python, Bash, or comparable languages. Solid understanding of networking, distributed systems, cloud security, and performance optimization. Qualifications Set Yourself Apart With Experience supporting large-scale cloud migration or modernization programs. Expertise in incident management and production operations for high-availability systems. Experience implementing chaos engineering or resilience testing practices. Knowledge of service mesh technologies such as Istio. AWS and/or GCP certifications. Experience working in Agile, DevOps, or DevSecOps environments. **This position is only available for candidates based in LATAM** Additional Information