We are looking for a DevOps Engineer to join dLocal’s Cloud Platform team and help evolve the infrastructure behind our mission-critical services. You will partner with software engineers, Security, and Compliance to deliver reliable, secure, and scalable platforms. Build and operate AWS infrastructure and production Kubernetes platforms, managing capacity, lifecycle, autoscaling, and multi-region availability while balancing performance, security, and cost. Implement Gateway API-based traffic management and service mesh capabilities, including gateway and route configuration, mTLS, traffic policies, observability, and controlled rollouts. Troubleshoot connectivity and performance across entry points, workloads, proxies, and networks. Develop reusable Terraform modules and infrastructure automation using version control, peer review, testing, and safe deployment and rollback practices. Translate agreed recovery time and recovery point objectives (RTO/RPO) into recovery procedures, validate restores, test regional failover and failback, and track remediation actions. Apply approved AI-assisted tools to IaC and script development and review, upgrade planning, configuration drift investigations, analysis of sanitized operational evidence, troubleshooting hypotheses, and improvements to tests and runbooks. Hands-on experience with production AWS infrastructure, including compute, networking, storage, IAM, and load balancing.



Production Kubernetes experience beyond application deployment, covering cluster operations, scheduling, security, and troubleshooting. Practical experience with Kubernetes traffic management, Gateway API, and a service mesh implementation. Strong Terraform and Git-based engineering practices, including module design, state management, change review, and safe infrastructure delivery. Strong Linux and networking fundamentals, including DNS, TCP/IP, TLS, routing, and systematic troubleshooting across infrastructure and application boundaries. Practical experience with high availability and disaster recovery, including backups, restores, recovery runbooks, and testing against RTO/RPO. Be ready to explain a real workflow, how you validated the output, where the tool was wrong or unhelpful, and how you protected sensitive data and production systems. Understanding of cloud security fundamentals, including least privilege, secrets management, encryption, network controls, and secure change management. Examples include Envoy Gateway, Istio, Linkerd, and Cilium; Experience with GitOps and Kubernetes packaging tools such as Argo CD, Flux, Helm, or Kustomize. Experience building reusable AI-assisted workflows or integrations with bounded permissions, auditability, evaluation, and human approval controls. Experience with SLOs, error budgets, resilience testing, capacity planning, performance tuning, and cloud cost optimization.

📌 DevOps Engineer with Python (España)
🏢 Dlocal
📍 España