Software Python Engineer (Gpu Cloud)

TL;DR

Software Python Engineer (GPU Cloud): Develop and maintain RESTful APIs and system architectures for managing GPU clusters and cloud infrastructure with an accent on scalability, high availability, and DevOps culture. Focus on designing reliable, maintainable code using modern technologies and enhancing CI/CD processes.

Location: Hybrid or remote options with flexibility to work from anywhere in the world for up to 45 days per year

Company

Global provider of infrastructure and software solutions for AI, cloud, network, and security with 210+ edge locations and thousands of GPUs worldwide.

What you will do

• Develop and maintain RESTful APIs for GPU clusters, virtual machines, and dedicated servers.
• Use FastAPI, Python, OpenStack, Asyncio, PostgreSQL, Docker, RabbitMQ, Redis, and Kubernetes to build reliable code.
• Enhance CI/CD processes and infrastructure reliability through proactive monitoring and problem resolution.
• Manage compute product lifecycle focusing on scalability and customer needs.
• Design system architectures supporting high availability and disaster recovery.
• Collaborate across teams to integrate development and operations objectives fostering a DevOps culture.

Requirements

• Strong Python web development skills including asynchronous programming
• Experience with Docker and Kubernetes
• Experience with cloud providers such as AWS, Azure, or Google Cloud
• Strong problem-solving and creative solution skills.
• Experience with logging and monitoring tools like ELK, Loki, Prometheus, and Grafana.
• Good communication and teamwork skills.

Culture & Benefits

• Competitive compensation.
• Flexible working hours with hybrid or remote options.
• Work from anywhere globally for up to 45 days per year.
• Private medical insurance for employee and family.
• Extra paid vacation and sick leave days.
• Language courses and team social activities.