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)