What Youll Do
- 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
Qualifications :
What Were Looking For
- 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.
Additional Information :
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 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 lifes 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*
*Benefits may vary depending on your location.
Equal Opportunity Employer
We 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.
Remote Work :
Yes
Employment Type :
Full-time
What Youll DoDesign and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleetsWrite clean efficient and maintainable Go code to power Kubernetes controllers operators and custom resources s...
What Youll Do
- 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
Qualifications :
What Were Looking For
- 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.
Additional Information :
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 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 lifes 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*
*Benefits may vary depending on your location.
Equal Opportunity Employer
We 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.
Remote Work :
Yes
Employment Type :
Full-time
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