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