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Software Golang Engineer (Kubernetes) | Gcore | Remote

2 hours, 7 minutes ago
Poland
Full-time
Senior
Backend Engineer
Software Development
Docker Go Helm Kubernetes Microservices Python PyTorch Serverless TensorFlow
Apply Now
Bee Talents

Bee Talents

Bee Talents is your dedicated partner in tech recruitment, saving up to 75% on standard costs. We build efficient tech teams with tailored hires for niche positions in new technologies.

Professional Services
51-250
Founded 2015
View All Jobs 8

Description

  • Design and implement AI inference and model training cloud products optimized for Kubernetes.
  • Write clean, efficient, and maintainable Go code for Kubernetes controllers, operators, and custom resources.
  • Build APIs, CLIs, and developer tools for deploying, managing, and monitoring AI applications.
  • Develop features that improve serverless container workflows for AI, including cold starts, scaling, and workload isolation.
  • Contribute to system performance, reliability, and security for AI-specific infrastructure challenges.
  • Work on GPU scheduling, job orchestration, and data throughput for distributed AI workloads.
  • Stay current with Kubernetes ecosystem advancements and help influence the product roadmap.
  • Collaborate with a team of engineers in a cloud-native, distributed systems environment.

Requirements

  • Strong proficiency in Go programming.
  • Experience with Kubernetes development, including controllers and operators.
  • Deep understanding of Kubernetes architecture, resource management, and container orchestration.
  • Experience with Kubernetes APIs and custom resources (CRDs).
  • Solid knowledge of cloud-native technologies, including Docker and Helm.
  • Strong problem-solving skills and experience working on complex distributed systems.
  • Excellent communication skills and ability to work in a collaborative team environment.
  • Experience with Python programming language (nice to have).
  • Experience developing AI/ML pipelines or integrating frameworks such as TensorFlow or PyTorch into Kubernetes (nice to have).
  • Understanding of GPU scheduling and optimization in Kubernetes environments (nice to have).
  • Knowledge of Kubernetes security best practices, including 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 with hybrid or remote options, depending on the 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 for professional growth.
  • Modern offices with snacks, drinks, and entertainment.
  • Team sports and social activities.

Interested in this position?

Apply directly on the company website

Apply Now

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