Software Python Engineer (GPU Cloud)

What You’ll Do Develop and maintain RESTful APIs that facilitate the effective management of GPU clusters, virtual machines, and dedicated servers. Utilize a modern technology stack including FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, relational databases, RabbitMQ, Redis, and Kubernetes to build reliable and maintainable code. Bridge the gap between development and operations, enhancing our CI/CD processes and infrastructure reliability through proactive service monitoring and problem resolution. Take an active part in the lifecycle management of compute products from initial design to implementation, focusing on scalability and customer needs. Design and implement system architectures that support high availability and disaster recovery principles. Engage with team members across the organization to integrate development and operations objectives, facilitating a DevOps culture. Drive innovation by staying current with industry trends and emerging technologies, applying this knowledge to improve internal processes and solutions. What We’re Looking For Strong Python web development skills, including experience with asynchronous programming. Experience with Docker and Kubernetes Experience with cloud providers such as AWS, Azure, Google Cloud, or others. Strong problem-solving skills and ability to think creatively to find solutions. Experience with logging and monitoring tools such as ELK, Loki, Prometheus, and Grafana. Good communication skills and ability to work well in a team environment. Passion for technology Benefits At Gcore , we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: Competitive salary Flexible working hours Remote, hybrid, or office work options depending on your role Work from anywhere in the world for up to 45 days per year Private medical insurance for you and your family* 5 additional vacation days* Additional fully paid sick leave days* Allo