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. You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix , and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.
Join a global team of 550+professionals building infrastructure and software that supports the entire digital ecosystem. We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.
Design and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleets
Write clean, efficient, and maintainable Go code to power Kubernetes controllers, operators, and custom resources supporting AI workloads
Build APIs, CLIs, and developer tools that simplify the deployment, lifecycle management, and monitoring of AI applications
Develop features that optimize serverless container workflows for AI, ensuring fast cold starts, resource-efficient scaling, and workload isolation
Contribute to system performance, reliability, and security, with a focus on AI-specific challenges such as GPU scheduling, job orchestration, and data throughput
Stay on top of Kubernetes ecosystem advancements (e.g., K8s-native ML tooling, scheduling improvements, SIGs) and influence our product roadmap accordingly
Strong proficiency in Go programming, with experience in Kubernetes development, including controllers and operators.
Experience with Python programming language
Experience with developing AI/ML pipelines or integrating AI frameworks (e.g., Contributions to open-source Kubernetes projects or cloud-native communities.
Competitive compensation
Flexible working hours and hybrid or remote options, depending on your role
Private medical insurance for you and your family*
Extra paid vacation and sick leave days*
Language courses to help you connect and grow
Modern, welcoming offices with snacks, drinks, and entertainment*
We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
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