Software Golang Engineer (Kubernetes)

Gcore; Poland; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Hybrid/Remote work

Private medical insurance

Extra vacation days

Language courses

Office snacks & events

Job summary

Gcore is seeking an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.

You will design and implement cloud products, write Go code for controllers and operators, and develop APIs, CLIs, and developer tools to simplify deployment and monitoring of AI applications.

Join a global team and influence our roadmap while ensuring performance, reliability, and security in AI workloads.

Qualifications

• Strong proficiency in Go and Kubernetes development.
• Experience with Kubernetes APIs and custom resources (CRDs).
• Cloud-native technologies including Docker and Helm.
• Excellent communication and collaborative skills.

Responsibilities

• Design and implement AI inference and model training cloud products optimized for Kubernetes, including autoscaling inference servers and distributed training jobs.
• Write clean, efficient Go code powering Kubernetes controllers, operators, and custom resources for AI workloads.
• Build APIs, CLIs, and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.
• Develop features to optimize serverless container workflows for AI, focusing on fast cold starts and scalable resource usage.
• Contribute to system performance, reliability, and security with AI-specific challenges like GPU scheduling and data throughput.
• Stay updated on Kubernetes ecosystem advancements and influence product roadmap accordingly.

Skills

Go

Kubernetes

CRDs

Cloud-native

Tools

Docker

Helm

Job description

The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. AtGcore,you’llhelp design and deliver that foundation for an AI-driven world.

We’rea global provider of infrastructure and software solutions forAI, cloud, network, and security,powering everything from real-time communication and streaming to enterprise AI and secure web applications. With210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.

You’llcollaborate with leading technology partners such asIntel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.

Want to work on technology that goes beyonda single productor industry?Join a global team of550+professionalsbuilding infrastructure and software that supports the entire digital ecosystem. We're looking for an experienced Golang Engineerto build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.

Job Description

What You'll 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 We’ll Look 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

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 to45 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*

*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.