Software Golang Engineer (Kubernetes)
G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE
⚲ Kraków
20 000 – 30 000 zł / mies.
Wymagania
- Go
- Kubernetes
- Docker
- Helm
- Python
- TensorFlow
- PyTorch
Opis stanowiska
Nasze 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).
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.
Mile widziane:
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.
O projekcie:
We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.
Zakres obowiązków:
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
Oferujemy:
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*
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.
Mile widziane:
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.
O projekcie:
We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.
Zakres obowiązków:
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
Oferujemy:
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*
🔍 Dekoder Ogłoszenia
🟡
passion for tackling complex challenges in distributed systems
Ogólnik — może oznaczać niejasno zdefiniowany zakres zadań i dużą samodzielność w rozwiązywaniu problemów
🟡
thrive in a collaborative, team-oriented environment
Może sugerować dużo spotkań i procesów zespołowych