• Implement and maintain infrastructure as code using Terraform, following the standards and best practices established by the team. • Operate and maintain Kubernetes clusters using Helm and GitOps practices to support continuous delivery of applications. • Perform day-to-day operations of AWS environments, contributing to the availability and stability of the platforms. • Support diagnosis of network issues in cloud providers, collaborating with more senior team members on complex scenarios. • Maintain CI/CD pipelines with GitLab, collaborating with development and data teams. • Use and monitor observability tools (Prometheus, Grafana, Datadog) to identify anomalies and assist with incident response. • Participate in incident response and post-mortems, contributing analyses and implementing improvements. • Support FinOps initiatives, helping to identify opportunities to optimize cloud costs.

• Join our team across three specialized DevOps tracks • Work closely with Engineering, Product, and Platform teams to design, scale, and maintain secure and highly available cloud architectures

• **Incident Leadership:** • Act as Incident Response Lead in War Rooms, coordinating technical remediation and communication with stakeholders. • **Observability Engineering:** • Design and evolve telemetry in Datadog (Logs, APM, Traces and business metrics) to reduce MTTD and the team's cognitive load. • **Workload Management on AWS Amplify:** • Ensure the resilience and scalability of hosted front-end applications and critical APIs. • **SRE Governance:** • Define and monitor SLIs, SLOs and SLAs, managing the Error Budget to balance delivery speed with stability. • **Mitigation Automation:** • Develop auto-healing tools and scripts (automatic rollback, controlled restart, component isolation). • **Root Cause Analysis:** • Lead blameless post-mortem processes and ensure the implementation of structural improvements to prevent recurrence. • **Systems Modernization:** • Work with development teams to implement resilience patterns (Circuit Breakers, Bulkheads and Rate Limiting) in both modern architectures and legacy systems. • **AI in Operations:** • Implement anomaly detection and intelligent response solutions using AIOps (Datadog Bits AI or AWS DevOps Agent).

• Design, provision, and maintain cloud infrastructure on AWS using Terraform and infrastructure-as-code best practices • Manage and evolve Kubernetes clusters, ensuring reliability, performance, and security across environments • Build and improve CI/CD pipelines to accelerate delivery and reduce deployment risk • Monitor system health, respond to incidents, and drive post-mortems to prevent recurrence • Collaborate closely with software engineers to support application deployment and platform needs • Harden infrastructure security posture, including IAM policies, network segmentation, and secrets management • Contribute to capacity planning, cost optimization, and cloud architecture decisions • Support a multi-cloud environment, including limited work in Azure • Document infrastructure, runbooks, and operational procedures to support a growing team