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Software Python Engineer (GPU Cloud)

Other • Senior • Remote • Full-time • Germany 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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