About Hivenet

We're building the future of cloud infrastructure. Hivenet is a distributed cloud platform offering GPU computing for AI/ML workloads, secure file storage, and fast file transfer—all powered by a sustainable, decentralized architecture that reduces carbon footprint by 77% compared to traditional data centers. We're a well-funded, remote-first team scaling fast across EMEA.

About the Team

The Compute GPU team owns our core GPU cloud infrastructure: Platform Services, billing systems, team management, and the foundational components that power Hivenet Compute. We serve RTX 4090/5090 instances across multiple regions to AI researchers and enterprises building production AI systems.

What You'll Do

• Lead and grow a team of 4-6 engineers while staying hands-on with architecture and code
• Own the technical roadmap for GPU infrastructure, Platform Services, and billing systems
• Drive engineering excellence: code reviews, system design, incident response, and team rituals
• Partner with Product to shape the Compute roadmap and deliver against quarterly objectives
• Build scalable systems using Kubernetes, Golang, and our GitOps/FluxCD deployment pipeline

What You Bring

• 5+ years of software engineering experience, including 2+ years leading engineering teams
• Strong hands-on experience with Kubernetes, containerization, and cloud infrastructure
• Proficiency in Golang or similar systems languages
• Track record of shipping production systems at scale
• Experience with the EM/PM partnership model and roadmap delivery
• Proficiency with AI-assisted development tools and agentic coding workflows
• Demonstrated ability to use AI coding assistants effectively—rapidly prototyping, debugging, and refactoring while maintaining strong engineering judgment and production standards

Bonus Points

• Experience with GPU infrastructure, CUDA/ROCm, or ML/AI workloads
• Familiarity with KubeVirt, KVM, or virtualization technologies
• Background in billing systems or usage-based pricing models

The Reality

• This is an early-stage startup—you'll wear many hats
• We move fast and expect ownership mentality
• You'll be building processes, not following existing ones
• You'll be player-coach: ~40% hands-on technical, ~60% leadership and strategy
• The team is small but growing—you'll shape engineering culture from the ground up

What We Offer

• Full remote work from anywhere (EMEA timezone preferred)
• Equipment budget to set up your ideal workspace
• Company offsites to connect with the team
• Career growth in a scaling engineering organization
• Work on cutting-edge distributed systems and AI infrastructure