Remote Position
GCP / Python Engineer
🌍 Remote · United States
💼 Full-time
About the position We are looking for a skilled GCP (Google Cloud Platform) and Python Developer with hands-on experience in Python, cloud implementation, deployment automation, and AI/ML model operationalization. This role supports cloud infrastructure, CI/CD pipelines, and production-ready AI workloads.
Responsibilities
- Manage and optimize GCP, Azure and AWS cloud environments
- Implement and deploy cloud infrastructure using IaC tools
- Build and maintain CI/CD pipelines for applications and AI models
- Deploy and monitor AI/ML models using Azure ML, SageMaker, or similar platforms
- Support containerized workloads (Docker, Kubernetes)
- Ensure cloud security, IAM, and compliance best practices
- Troubleshoot cloud, deployment, and model-related issues
- Monitor model performance and ensure scalability, security, and compliance.
- Optimize resource utilization and cost efficiency for AI workloads.
- Collaborate with data scientists and engineering teams for seamless integration.
Requirements
- 10+ years in GCP (Google Cloud Platforms)
- 10+ years hands-on experience with Python
- Strong experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, CodePipeline)
- Proficiency with Terraform, CloudFormation, or ARM/Bicep
- Experience deploying AI/ML models into production
- Knowledge of Docker, Kubernetes (AKS/EKS)
- Strong experience with AWS AI/ML services (e.g., SageMaker) or Azure Machine Learning
- Proficiency in cloud administration (IAM, networking, security, resource management).
- Familiarity with model evaluation, tuning, and deployment pipelines. Nice-to-haves
- Knowledge of Python and ML frameworks (TensorFlow, PyTorch) is a plus. Apply tot his job