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Jobs/Software Engineer Role/bee-talents - Software Golang Engineer (Kubernetes) | Gcore | Remote
bee-talents

bee-talents - Software Golang Engineer (Kubernetes) | Gcore | Remote

Remote - but only within Poland1mo ago
RemoteEMEADeveloper ToolsSoftware EngineerAI EngineerKubernetesGoDockerHelmPython

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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 • Experience with developing AI/ML pipelines or integrating AI frameworks (e.g., TensorFlow, PyTorch) into Kubernetes. • Understanding of GPU scheduling and optimization in Kubernetes environments. • Knowledge of security best practices in Kubernetes, including role-based access control (RBAC) and container security. • Contributions to open-source Kubernetes projects or cloud-native communities.

Responsibilities

• 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

Benefits

• At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: • Flexible working hours and 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* • Benefits may vary depending on your location.

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