Nearshore Business Solutions
Platform Engineer (DevOps / Python)
Build and maintain cloud-native infrastructure and developer tools to support AI development workflows using Python, Kubernetes, and Terraform across AWS/GCP/Azure.
- Compensation
- Not disclosed
- Location
- Bogotá, Colombia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 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
Nice to have
- 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)
Full description
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)