Platform Engineer (DevOps / Python)

Nearshore Business Solutions; Bogotá; On-site; COP 218,762,533 - 328,143,799; Full time

Job summary

A technology firm is seeking a skilled Platform Engineer (DevOps / Python) to join their team remotely, preferably in Latin America. This role requires expertise in cloud infrastructure and Kubernetes. You will develop and maintain internal tools, manage Kubernetes environments, and implement Infrastructure as Code using Terraform and Helm. Strong skills in Python, AWS, and GCP are necessary, along with knowledge of CI/CD pipelines. A dynamic opportunity focused on AI development awaits.

Qualifications

• Strong professional experience with Python and building CLI tools.
• Deep hands-on expertise with Kubernetes for cloud environments.
• Solid experience with AWS and/or GCP related to IAM and networking.

Responsibilities

• Develop and maintain internal developer tools and automation scripts.
• Design, deploy, and manage Kubernetes environments across cloud platforms.
• Implement Infrastructure as Code (IaC) using Terraform and Helm.

Skills

Python

Kubernetes

AWS

GCP

Terraform

Helm

CI/CD

Linux

Tools

Terraform

Helm

Prometheus

Grafana

Fluent Bit

Job description

About the job 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)