Staff Golang Engineer (100% Remote)

Location: Fully remote (EMEA timezone)

Start date: ASAP

Languages: Fluent English required

Industry: Cloud Computing / AI / European Deep-Tech SaaS

About the Role

Pragmatike is recruiting on behalf of a European deep-tech company building a decentralized, energy-efficient alternative to traditional cloud providers. Their platform operates on distributed bare-metal infrastructure with advanced automation, delivering sovereign, high-performance compute for modern workloads.

We are seeking a Senior / Lead Backend Engineer (Staff-level mindset) with strong expertise in Go and production-grade peer-to-peer (P2P) systems.

to join the CPU/Storage team, which is expanding the platform beyond GPU workloads into CPU-based compute, containerized applications, virtual machines, and distributed block storage.

This role sits at the core of the company’s next growth phase: building the backbone of a multi-cloud, decentralized compute platform.

You will work on the foundations of vCPU infrastructure, HPC storage, VM orchestration, and container platforms that power enterprise, AI, and high-performance workloads. This is a highly technical, hands-on role focused on distributed systems, cloud infrastructure, and production-grade backend services, with strong ownership, autonomy, and architectural responsibility.

About the Team

The CPU/Storage team is responsible for expanding the compute platform beyond GPUs into:

• CPU-based workloads
• Containerized applications
• Virtual machines (VMs)
• Distributed block storage
• Multi-cloud orchestration infrastructure

The team is building the core infrastructure for vCPU resources, HPC-grade storage, and the control plane of the company’s decentralized cloud platform.

Your Responsibilities

• Design and implement container orchestration systems for CPU-based workloads using Kubernetes
• Build VM provisioning and lifecycle management systems using KubeVirt and Kubernetes
• Develop distributed storage services for HPC and enterprise-grade use cases
• Design and implement APIs and control plane services for vCPU resource management
• Build scalable, distributed backend services in Go for infrastructure and platform components
• Contribute to infrastructure automation using FluxCD and GitOps practices
• Optimize systems for performance, reliability, security, and fault tolerance
• Collaborate with infrastructure, DevOps, and product teams on production-grade architectures
• Participate in the full system lifecycle: architecture, design, implementation, deployment, and operations
• Establish strong engineering standards around code quality, testing, observability, and reliability
• Mentor engineers, conduct code reviews, and raise overall engineering quality
• Champion best practices in distributed systems, platform engineering, and cloud-native architecture

What You Bring

• 4+ years of backend engineering experience in infrastructure, platform, or systems teams
• Strong Kubernetes experience and deep understanding of container orchestration
• Proficiency in Golang for production backend systems
• Experience with distributed systems, storage platforms, or virtualization technologies
• Strong understanding of cloud-native architectures and microservices
• Experience building APIs and control planes for infrastructure platforms
• Hands-on experience working in production environments
• 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
• Strong communication skills and ability to work in highly autonomous, fast-moving environments

Bonus Points

• Experience with KubeVirt, KVM, QEMU, or VM orchestration platforms
• Background in distributed storage systems (Ceph, MinIO, or similar)
• Familiarity with K3s or lightweight Kubernetes distributions
• Experience in multi-cloud environments (AWS, Azure, GCP)
• Experience with GitOps, CI/CD pipelines, and modern DevOps practices
• Background in HPC systems or high-performance infrastructure

The Reality

This is an early-stage deep-tech startup:

• You will wear many hats
• We move fast and expect a strong ownership mentality
• You will help build processes, not follow existing ones
• Ambiguity is part of the job — autonomy and judgment matter

What We Offer

• Fully remote work from anywhere (EMEA timezone preferred)
• Equipment budget to build your ideal technical workspace
• Company offsites to connect with a highly technical international team
• Career growth within a scaling engineering organization
• Direct impact on the architecture of a next-generation decentralized cloud platform
• Work on cutting-edge distributed systems, storage platforms, and AI infrastructure

Why Join Us

Our client is redefining cloud infrastructure through decentralization and advanced automation, offering a sovereign, energy-efficient alternative to hyperscale cloud providers. You will join a deeply technical environment where architecture matters, performance is critical, and your work will directly shape the evolution of a complex platform operating at the intersection of distributed systems, storage, virtualization, and cloud infrastructure.

Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.