Software Golang Engineer (Kubernetes)
External
Gcore · Georgia, CyprusFull-timeRemote2d ago
DockerHelmKubernetesPythonPyTorchServerless
Prepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
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
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.
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:Competitive compensationFlexible working hours and hybrid or remote options, depending on your roleWork from anywhere in the world for up to 45 days per yearPrivate medical insurance for you and your family*Extra paid vacation and sick leave days*Support for life's important moments and celebrationsLanguage courses to help you connect and growModern, welcoming offices with snacks, drinks, and entertainment*Team sports and social activities**Benefits may vary depending on your location.Equal Opportunity EmployerWe provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.Paid time offRemote work optionsFlexible schedule
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at Gcore? Share your experience