Senior Platform Engineer (Cloud, Kubernetes, AI Infrastructure)

Multiverse Computing

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU.

We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product Singularity is a software platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance energy manufacturing cybersecurity and many more industries.

You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

About the Role

We are seeking a Senior Platform Engineer to lead the design and evolution of next-generation cloud and AI infrastructure platforms. This role combines deep DevOps cloud architecture and systems engineering expertise with a strong focus on open-source technologies and Kubernetes extensibility.

You will play a critical role in building and operating a hybrid cloud / neo-cloud platform spanning AWS and private infrastructure while developing advanced Kubernetes-based control planes to orchestrate large-scale high-performance workloads.

This is a hands-on senior-level role requiring deep Kubernetes internals knowledge including the ability to design and implement custom CRDs and Operators for enterprise-grade platforms.

What Youll Do

Platform & Cloud Architecture

• Design and implement hybrid cloud architectures across AWS and private cloud environments.

• Build scalable secure and highly available systems using AWS services (IAM VPC Transit Gateway Control Tower etc.).

• Architect and operate platforms leveraging OpenStack and/or OpenShift for private cloud and container orchestration.

Kubernetes & Control Plane Engineering (Core Focus)

• Design and develop custom Kubernetes Operators and CRDs to manage complex infrastructure and workloads.

• Extend Kubernetes APIs to support enterprise use cases such as:

• Multi-tenant platforms

• GPU orchestration and scheduling

• Infrastructure abstraction layers

• Work deeply with Kubernetes internals (API server scheduler controller-runtime).

Neo-Cloud & Infrastructure Engineering

• Contribute to building a neo-cloud platform integrating cloud-like abstractions on top of bare metal or hybrid environments.

• Develop control planes agents and APIs to automate infrastructure lifecycle management.

• Work with emerging cloud providers and paradigms (e.g. Nscale Nebius).

DevOps & Automation

• Define and implement DevOps strategy CI/CD pipelines and release processes.

• Automate infrastructure provisioning using Terraform Ansible or similar tools.

• Build and maintain GitOps workflows and platform automation.

High-Performance & Distributed Systems

• Support large-scale distributed workloads including AI/ML and data-intensive applications.

• Optimize compute storage and networking layers for performance and scalability.

• Collaborate on scheduling orchestration and workload optimization.

Security & Reliability

• Implement DevSecOps practices including SAST/DAST IAM best practices and infrastructure security.

• Ensure system reliability through monitoring observability and incident response.

• Troubleshoot complex issues across cloud Kubernetes and hardware layers.

Leadership & Collaboration

• Mentor engineers and contribute to platform engineering best practices.

• Work cross-functionally with software data and infrastructure teams.

• Drive technical decisions and influence platform strategy.

Required Qualifications

• Bachelors degree in Computer Engineering Computer Science or related field; alternatively significant work experience as a Software Engineer.

• 10 years of experience in DevOps platform engineering or systems engineering.

• Proven experience as a Cloud Architect with strong AWS expertise. AWS certifications are desirable.

• Expert-level Kubernetes experience (non-negotiable):

• Deep understanding of Kubernetes internals

• Hands-on experience building custom CRDs and Operators

• Strong experience with Infrastructure as Code preferably Terraform

• Experience with CI/CD systems (GitLab Pipelines GitHub Actions).

• Proficiency in at least one programming language preferably Python or JavaScript

• Strong Linux systems knowledge and debugging skills.

• Experience building secure scalable production-grade platforms.

Preferred Qualifications

• Experience with OpenStack and/or OpenShift in production environments.

• Familiarity with neo-cloud platforms such as Nscale Nebius or similar emerging providers.

• Background in bare-metal provisioning or hybrid infrastructure.

• Experience with GPU infrastructure and AI/ML workloads.

• Knowledge of service meshes (e.g. Istio).

• Experience with HPC environments or distributed scheduling systems.

• Exposure to high-performance networking (RDMA InfiniBand etc.).

• Kubernetes certifications (CKA CKAD CKS).

• German fluency.

Perks & Benefits

• Indefinite contract.

• Equal pay guaranteed.

• Variable performance bonus.

• Signing bonus.

• Relocation package (if applicable).

• Private health insurance.

• Eligibility for educational budget according to internal policy.

• Hybrid opportunity.

• Flexible working hours.

• A high-performance collaborative environment operating at pace on cutting-edge technologies.

• Career plan. Opportunity to learn and teach.