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)