Platform Engineer (DevOps / Python)

Job Title: Platform Engineer (DevOps / Python) Location: Remote – Latin America Preferred Type of Contract: Full-Time | Remote | Contractor Salary Range: Market Rates Language Requirements: Professional English We are seeking a skilled Platform Engineer (DevOps / Python) with strong expertise in cloud infrastructure and Kubernetes to join our growing team. You will play a key role in building and scaling an enterprise platform for AI development and orchestration. Your work will directly impact the speed and reliability of delivering production-ready AI systems for technical teams. Key Responsibilities Develop and maintain internal developer tools, CLI applications, and automation scripts using Python Design, deploy, and manage Kubernetes environments across AWS, GCP, and Azure Architect and implement secure cloud infrastructure, including IAM, networking, and access controls Build infrastructure validation and testing frameworks to ensure reliability and scalability Implement Infrastructure as Code (IaC) using Terraform and Helm Develop and optimize CI/CD pipelines and GitOps workflows Monitor, troubleshoot, and improve platform performance, observability, and cost-efficiency Must-Have Qualifications Strong professional experience with Python, including building CLI tools, SDKs, or API integrations Deep hands-on expertise with Kubernetes (RBAC, networking, custom resources) Solid experience with AWS and/or GCP, especially IAM, networking, and workload identity (IRSA or equivalent) Proven experience with Terraform and Helm in production environments Strong understanding of CI/CD pipelines and infrastructure automation best practices Knowledge of containerization, container registries, and security best practices Solid Linux fundamentals and ability to troubleshoot complex infrastructure issues Preferred Qualifications Experience developing Kubernetes Operators or custom admission webhooks Familiarity with observability tools such as Prometheus, Grafana, and Fluent Bit Experience working with ML infrastructure or orchestration platforms (e.g., Flyte)