Software Golang Engineer (Kubernetes/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Golang Engineer (Kubernetes/AI): Building Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads with an accent on GPU scheduling and distributed system orchestration. Focus on developing Kubernetes controllers, operators, and custom resources to optimize AI-specific workloads and resource efficiency.
Location: Poland, Serbia, Georgia, or Cyprus (Hybrid or Remote)
Company
is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences across 210+ edge locations.
What you will do
- Design and implement AI inference and model training cloud products optimized for Kubernetes.
- Develop Kubernetes controllers, operators, and custom resources using Go.
- Build APIs, CLIs, and developer tools to simplify the deployment and monitoring of AI applications.
- Optimize serverless container workflows for AI, focusing on fast cold starts and resource-efficient scaling.
- Improve system performance and reliability regarding GPU scheduling, job orchestration, and data throughput.
- Monitor Kubernetes ecosystem advancements to influence the product roadmap.
Requirements
- Strong proficiency in Go and experience developing Kubernetes controllers and operators.
- Deep understanding of Kubernetes architecture, resource management, and container orchestration.
- Experience working with Kubernetes APIs and Custom Resource Definitions (CRDs).
- Solid knowledge of cloud-native technologies, including Docker and Helm.
- Strong problem-solving skills for complex distributed systems.
- Must be based in Poland, Serbia, Georgia, or Cyprus and be able to sign an employment (labor) agreement.
Nice to have
- Experience with Python.
- Experience developing AI/ML pipelines or integrating frameworks like TensorFlow and PyTorch into Kubernetes.
- Understanding of GPU scheduling and optimization in Kubernetes environments.
- Knowledge of K8s security best practices, including RBAC and container security.
- Contributions to open-source Kubernetes or cloud-native projects.
Culture & Benefits
- Competitive compensation and flexible working hours.
- Hybrid or remote work options.
- Possibility to work from anywhere in the world for up to 45 days per year.
- Private medical insurance for employees and their families.
- Extra paid vacation and sick leave days.
- Language courses and modern offices with snacks, drinks, and entertainment.
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