Software Engineer, Golang, Kubernetes

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Gcore

WebsiteLinkedInAll Job Openings

201 - 500 employees

🔐 Security

🤖 Artificial Intelligence

Cloud Computing • Security • Artificial Intelligence

Gcore is a global provider of cloud, edge, and AI solutions that accelerate AI training, deliver comprehensive cloud services, enhance content delivery, and protect servers and applications. With over 180 points of presence worldwide and a network capacity of 200+ Tbps, Gcore offers secure, flexible, and scalable infrastructure services. Its integrated offerings, including Edge Cloud, Edge Network, Edge Security, and AI Infrastructure, are designed to meet the needs of businesses looking to scale and control their global infrastructure efficiently. Gcore also provides robust DDoS protection and origin shielding to ensure uninterrupted online operations, making it a trusted partner for thousands of businesses worldwide.

📋 Description

• 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

🎯 Requirements

• Strong proficiency in Go programming, with experience in Kubernetes development, including controllers and operators. • Deep understanding of Kubernetes architecture, resource management, and container orchestration. • Experience working with Kubernetes APIs and custom resources (CRDs). • Solid knowledge of cloud-native technologies and frameworks, including Docker and Helm. • Strong problem-solving skills, with a passion for tackling complex challenges in distributed systems. • Excellent communication skills and the ability to thrive in a collaborative, team-oriented environment. • Experience with Python programming language (Nice to Have) • Experience with developing AI/ML pipelines or integrating AI frameworks (e.g., TensorFlow, PyTorch) into Kubernetes (Nice to Have) • Understanding of GPU scheduling and optimization in Kubernetes environments (Nice to Have) • Knowledge of security best practices in Kubernetes, including role-based access control (RBAC) and container security (Nice to Have) • Contributions to open-source Kubernetes projects or cloud-native communities (Nice to Have)

🏖️ Benefits

• Competitive compensation • Flexible working hours • Hybrid or remote options, depending on your role • Work from anywhere in the world for up to 45 days per year • Private medical insurance for you and your family* • Extra paid vacation and sick leave days* • Support for life’s important moments and celebrations • Language courses to help you connect and grow • Modern, welcoming offices with snacks, drinks, and entertainment* • Team sports and social activities*