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Open nowFirst seen 31 hours ago

Platform Engineer (DevOps / Python)

Nearshore Business Solutions68 open roles

Where
Bogotá, Colombia, Remote
Work mode
Remote
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Your applicationOpen nowPlatform Engineer (DevOps / Python)Nearshore Business Solutions · Bogotá, Colombia, Remote
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Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 31 hours ago

The posting

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)
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