Devops/Cloud Engineer

Location - Mexico, Colombia or Argentina (remote) Role Overview We're looking for an experienced DevOps / Cloud Engineer to join our global DevOps team. You'll be part of a core group responsible for the reliability, scalability, and automation of our multi-cloud SaaS platform running in AWS and Azure. The environment supports hundreds of enterprise tenants and requires exceptional operational maturity, automation, and observability. Key Responsibilities Design, implement, and maintain CI/CD pipelines using GitOps principles (GitHub Actions, ArgoCD, etc.) Drive automation across infrastructure provisioning, deployments, and operational workflows Own and improve observability and monitoring , leveraging Elastic Stack or equivalent (Prometheus, Grafana, Datadog) Develop tools and scripts (Python, Go, Bash, PowerShell) to enhance developer experience and efficiency Manage and optimize Kubernetes infrastructure using Helm, Argo, and KEDA Implement and maintain infrastructure-as-code across multi-cloud environments (AWS, Azure) Participate in on-call rotations ensuring platform reliability and fast incident response Perform root-cause analysis and postmortems for infrastructure or software failures Collaborate closely with engineering teams to embed operational excellence and reliability into the product Qualifications Minimum 5 years of experience as a DevOps, SRE, or Cloud Engineer in a production SaaS environment Strong hands-on experience with Kubernetes , Helm , and Argo Proficient in YAML , Bash , Python , and Go Deep understanding of CI/CD pipelines , Git , and GitOps workflows Experience with monitoring and observability tools such as Elastic Stack, Prometheus, or Datadog Solid understanding of AWS and/or Azure cloud services Excellent problem-solving skills, especially in debugging distributed systems Strong communication and collaboration skills with a DevOps mindset Nice to Have Experience with Terraform or Pulumi Exposure to service mesh and secrets management solutions Familiarity with cost optimization and performance tuning across cloud environments