Senior MLOps Engineer | Kubernetes | Docker | AWS/Azure/GCP

Are you passionate about building scalable platforms for Artificial Intelligence solutions? We are looking for a Senior MLOps Engineer with a strong architectural vision to design, deploy, and operate the platform that integrates Backend, Frontend, and AI applications, ensuring stable, secure, and scalable solutions in Cloud, On-Premise, and Edge environments. What will you do? Design and manage microservices and container-based architectures. Implement and operate platforms using Docker and Kubernetes. Develop CI/CD pipelines for applications and Machine Learning models. Automate deployments, updates, and infrastructure management. Implement monitoring, observability, logging, and alerting. Ensure high availability, security, scalability, and resilience. Collaborate with Backend, Frontend, Data Science, and Product teams. We are looking for experience in: Linux (advanced administration). Docker, Docker Compose, and Kubernetes. Microservices architectures and REST APIs. CI/CD (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps). Terraform (Infrastructure as Code). Bash and Python for automation. Networking, Nginx, SSL/TLS certificates, and secret management. Cloud (AWS, Azure, or Google Cloud). It will be a plus if you have experience in: MLOps and Machine Learning platforms (MLflow, Weights & Biases, Roboflow). NVIDIA Jetson, Edge Computing, or Computer Vision. Kafka, RabbitMQ, PyTorch, TensorFlow, or TensorRT. FastAPI, Flask, Node.js, or React. We especially value ✔