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Job
· Senior
Software Python Engineer (GPU Cloud)
Other
• Senior
• Remote
• Full-time
•
Germany
Develop RESTful APIs for managing GPU clusters, virtual machines, and dedicated servers, using a modern Python-based stack (FastAPI, OpenStack, Asyncio, Kubernetes) at Gcore.
Responsibilities
- ▹Develop and maintain RESTful APIs for managing GPU clusters, virtual machines, and dedicated servers
- ▹Use a modern technology stack: FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, RabbitMQ, Redis, Kubernetes
- ▹Bridge development and operations, improving CI/CD processes and infrastructure reliability
- ▹Take an active part in the lifecycle management of compute products from design to implementation
- ▹Design system architectures that support high availability and disaster recovery
- ▹Collaborate across the organization to integrate development and operations objectives
- ▹Drive innovation by staying current with industry trends and applying it to internal processes
Requirements
- ▹Strong Python web development skills, including asynchronous programming
- ▹Experience with Docker and Kubernetes
- ▹Experience with cloud providers such as AWS, Azure, Google Cloud, or others
- ▹Strong problem-solving skills and creative thinking
- ▹Experience with logging and monitoring tools such as ELK, Loki, Prometheus, and Grafana
- ▹Good communication and teamwork skills
Soft skills
Strong problem-solving and creative thinkingGood teamwork and communication
What we offer
- ▹Competitive salary
- ▹Flexible working hours
- ▹Remote, hybrid, or office work options depending on the role
- ▹Work from anywhere in the world for up to 45 days a year
- ▹Private medical insurance for the employee and family
- ▹5 additional vacation days and fully paid sick leave days
- ▹Allowance for significant life events and birthdays
- ▹Language classes
- ▹Modern office with free snacks, drinks, and team sports activities
About the company
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, with 210+ edge locations, 50+ cloud regions, thousands of GPUs, and 550+ professionals.
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