Software Engineer (Python, Kubernetes, AI/ML) | Gcore | Remote

The world’s digital experiences run on infrastructure and software that keep them fast, reliable, and secure. Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering real-time communication, streaming, enterprise AI, and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, Gcore collaborates with technology partners such as Intel, NVIDIA, Dell, and Equinix. The company has a global team of 550+ professionals building infrastructure and software supporting the digital ecosystem.

• Proficiency with Python, especially in ML tooling or backend development.
• Experience with AI/ML pipelines or integrating machine learning frameworks like TensorFlow or PyTorch into production.
• Hands-on experience with vLLM and SGLang.
• Familiarity with cloud-native tooling such as Docker, Helm, and CNCF technologies.
• Problem-solving mindset and interest in distributed systems and platform-level challenges.
• Clear communication skills and collaborative attitude.

Nice to have:

• Solid experience with Go programming, particularly with Kubernetes controllers, operators, and CRDs.
• Strong understanding of Kubernetes architecture, container orchestration, and resource management at scale.
• Understanding of GPU scheduling and performance optimization in Kubernetes.
• Awareness of Kubernetes security practices including RBAC and container hardening.
• Contributions to open-source projects or involvement in cloud-native or MLOps communities.

• Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution for scalable and portable AI inference.
• Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
• Package and integrate new ML models into the platform using Python and common ML frameworks.
• Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and autoscaling.
• Collaborate with customers to fine-tune ML model performance and support unique use cases.
• Work with cross-functional teams to improve the AI applications marketplace and ensure smooth model onboarding and lifecycle management.
• Stay current with trends in Kubernetes, machine learning, and MLOps to drive innovation within the platform.

This position is available only under an employment (labor) agreement.

Equal opportunity employer statement: Gcore provides equal opportunity to all applicants without regard to legally protected characteristics.

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