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, Rest API, 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.

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

Software Engineer, Python – GPU Cloud

Key skills