Software Engineer (Python, Kubernetes, AI/ML) @ Gcore

What We’re Looking For

• Proficiency with Python, especially in the context of ML tooling or backend development.
• Experience with AI/ML pipelines or integrating machine learning frameworks like TensorFlow or PyTorch into production environments.
• Hands-on experience with vLLM and SGLang
• Familiarity with cloud-native tooling such as Docker, Helm, and related CNCF technologies.
• A problem-solving mindset and genuine interest in working on distributed systems and platform-level challenges.
• Clear communication skills and a collaborative attitude - you enjoy working closely with others to build great solutions.

Nice to Have

• Solid experience with Go programming, particularly in the context of Kubernetes - including building controllers, operators, and working with custom resources (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.

Company Description The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.

We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.

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