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Gcore

Powerful edge and cloud solutions for media business and the entertainment industry

Software Engineer – Golang, Kubernetes

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

Cyprus

Posted

81 days ago

Salary

0

Seniority

Senior

Job Description

Software Engineer – Golang, Kubernetes

Gcore

• 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

Job 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.
  • Nice to Have: 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.

Benefits

  • Competitive compensation
  • 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*

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