Gcore
Gcore
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Software Golang Engineer (Kubernetes)

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SeniorFull-time·Umowa o pracę
#393734·Dodano 4 dni temu·0
Źródło: justjoin.it
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Tech Stack / Keywords

GolangKubernetes OperatorsKubernetes ControllersCLIsKubernetes APIsCRDsPythonMachine LearningAI Pipelines

Firma i stanowisko

Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, with 210+ edge locations, 50+ cloud regions, and thousands of GPUs. The company collaborates with technology partners such as Intel, NVIDIA, Dell, and Equinix, aiming to connect the world to AI globally.

Wymagania

  • 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)
  • Knowledge of cloud-native technologies including Docker and Helm
  • Strong problem-solving skills for distributed systems
  • Excellent communication skills for collaborative environments

Nice to have:

  • Experience with Python programming language
  • Developing AI/Machine Learning pipelines or integrating AI frameworks such as TensorFlow, PyTorch into Kubernetes
  • Understanding of GPU scheduling and optimization in Kubernetes
  • Knowledge of Kubernetes security best practices including RBAC and container security
  • Contributions to open-source Kubernetes or cloud-native communities

Obowiązki

  • Design and implement AI inference and model training cloud products optimized for Kubernetes
  • Write clean, efficient, and maintainable Go code to power Kubernetes controllers, operators, and custom resources for AI workloads
  • Build APIs, CLIs, and developer tools that simplify deployment, lifecycle management, and monitoring of AI applications
  • Develop features to optimize serverless container workflows, ensuring fast cold starts and workload isolation
  • Contribute to system performance, reliability, and security focusing on GPU scheduling and job orchestration
  • Stay updated on Kubernetes ecosystem advancements and influence product roadmap accordingly

Benefity

  • Competitive compensation
  • Flexible working hours and hybrid or remote options
  • Work from anywhere in the world for up to 45 days per year
  • Private medical insurance for employee and family*
  • Extra paid vacation and sick leave days*
  • Support for life events and celebrations
  • Language courses
  • Modern offices with snacks, drinks, and entertainment*
  • Team sports and social activities*

*Benefits may vary depending on location

Elastyczne godziny
Opieka zdrowotna
Płatny urlop
Kursy językowe
Napoje w biurze
Darmowe przekąski
Karta sportowa
Spotkania integracyjne

Inne informacje

We provide equal opportunity to all applicants without regard to legally protected characteristics. Benefits may vary by location.

Gcore

Gcore

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