Python Engineer – GPU Cloud & AI Infrastructure (Remote)

Gcore

Poland

Hybrid

PLN 180,000 - 280,000

Full time

8 days ago

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Benefits offered by this job

Remote work options
Private medical insurance
Sick leave days
Language classes
Modern office with snacks

Job summary

Gcore is looking for a Software Python Engineer (GPU Cloud) to design and maintain RESTful APIs for GPU clusters, virtual machines, and dedicated servers. You will use a modern stack including FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, Redis, RabbitMQ, and Kubernetes.

The role bridges development and operations, enhances CI/CD, and aims for high availability and disaster recovery. Collaboration across teams in a global infrastructure company is expected.

Qualifications

  • Strong Python web development skills with asynchronous programming.
  • Experience with Docker and Kubernetes.
  • Experience with cloud providers (AWS, Azure, Google Cloud or similar).
  • Strong problem solving and creative thinking.
  • Experience with logging/monitoring tools (ELK, Loki, Prometheus, Grafana).
  • Good communication and teamwork.

Responsibilities

  • Develop and maintain RESTful APIs for GPU clusters, VMs, and servers.
  • Use FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, RabbitMQ, Redis, Kubernetes.
  • Improve CI/CD processes and infrastructure reliability through monitoring.
  • Contribute to lifecycle management of compute products from design to deployment.
  • Design system architectures for high availability and disaster recovery.
  • Collaborate across teams to align DevOps objectives.

Skills

Python
Docker
Kubernetes
Cloud providers
Logging & monitoring
Communication
Teamwork
Passion for technology

Tools

FastAPI
OpenStack
PostgreSQL
RabbitMQ
Redis

Job description

Gcore is looking for a Software Python Engineer (GPU Cloud) to design and maintain RESTful APIs for GPU clusters, virtual machines, and dedicated servers. You will use a modern stack including FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, Redis, RabbitMQ, and Kubernetes.

The role bridges development and operations, enhances CI/CD, and aims for high availability and disaster recovery. Collaboration across teams in a global infrastructure company is expected.

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