We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
We offer
- Competitive annual base salary starting from 70,000 euros, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
As a Cloud Availability Manager, you will
- Availability Strategy & Ownership
- Define and own the cloud availability strategy for our AWS platforms
- Translate business goals into clear availability targets (SLAs/SLIs/SLOs)
- Act as the executive owner for uptime, resilience, and recovery
- Serve as liaison between DevOps, Product, and NOC teams
- Muster resources when incidents occur
- Establish on-call, escalation, and incident leadership models
- Coach teams through high-severity incidents with calm, decisive leadership
- Incident & Risk Leadership
- Serve as the senior leader during major availability incidents
- Drive blameless post-incident reviews and ensure follow-through on improvements
- Proactively identify organizational and architectural availability risks
- Cross-Functional Influence
- Partner with Engineering, Product, Security, and Customer teams to embed availability into planning and delivery
- Advise leadership on availability vs. speed vs. cost tradeoffs
- Represent availability posture to executives, customers, and auditors when needed
- Governance & Continuous Improvement
- Establish policies, standards, and operating rhythms for AWS availability
- Ensure disaster recovery and business continuity plans are owned, tested, and understood
- Build metrics and dashboards that clearly communicate availability health
- Draft incident reports and post-mortems.
- Communicate status reports to stakeholders and leadership
Required Qualifications
- Bachelor’s Degree in Information Technology, Computer Science, Engineering, or related field
- 5+ years in cloud operations, reliability, or engineering leadership
- 3+ years in a people management or operational leadership role
- Experience operating cloud-based platforms at scale
- Proven track record leading high-severity incidents and executive communications
- Ability to influence without authority in fast-moving environments
- Excellent communication skills—especially under pressure
- Expert in incident response protocols, resolution, and reporting
- Excellent communication, organization, and stakeholder management skills
- Proficiency with project management tools (Monday, GitLab, Jira, Confluence, etc.)
- Solid organizational and time-management skills, coupled with a keen eye for detail
- Perfect command of English (Fluent or Native)
Preferred Qualifications
- Master’s Degree in Information Technology, Computer Science, Engineering, or related field
- Experience managing large-scale or distributed engineering teams
- Solid understanding of Cloud Architecture, DevOps, and SRE principles
- Familiarity with AWS resilience patterns (multi-AZ, multi-region, DR strategies) at a conceptual level
- Familiarity with modern software architectures (microservices, APIs, event-driven systems)
- Understanding of CI/CD pipelines and release management
- Experience working in product-driven or SaaS environments
About Multiverse Computing
Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:
- CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.
- Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.
You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
This operational leadership function is structurally essential for maintaining confidence and continuity in the hybrid quantum-classical application layer. The role exists at the critical juncture where novel optimization and AI compression algorithms transition from proofs-of-concept into reliable, scalable commercial offerings, which fundamentally depend on resilient cloud infrastructure. High-authority orchestration over uptime, disaster recovery, and executive communications directly mitigates Technology Readiness Level (TRL) risk, safeguarding client adoption rates and long-term sector trust. In the rapidly evolving deep-tech sector, disciplined availability management guarantees that platform maturity matches the technological innovation curve. The systematic assurance of service level objectives (SLOs) is a prerequisite for enterprise integration, translating directly into sustained commercial viability.
The quantum software and application segment of the value chain relies heavily on robust classical computing infrastructure for deployment, orchestration, and scaling, positioning roles focused on cloud availability as key enablement functions. This dual reliance—on emerging quantum techniques coupled with established cloud stability (specifically AWS)—highlights a major systemic challenge: bridging the TRL gap between nascent quantum-inspired algorithms and enterprise-grade service expectations. As organizations like Multiverse Computing develop tools for quantum and AI optimization, their commercial success hinges not just on algorithmic performance, but on platform reliability measured by conventional metrics (e.g., nines of uptime). This creates an industry-wide demand for professionals capable of institutionalizing site reliability engineering (SRE) principles across multi-modal architectures. Workforce and infrastructure development remain priority areas across the value chain, particularly concerning the scarcity of personnel skilled in high-consequence incident management within high-performance cloud environments. Vendor fragmentation and the complexity of managing proprietary quantum-inspired software alongside conventional cloud services increase the necessity for strong availability governance. This management function stabilizes the delivery pipeline, ensuring that intellectual property translation results in dependable, auditable client solutions, thereby lowering the friction associated with deep-tech adoption in conservative sectors like finance and energy.
Effective management of cloud availability requires a synthesized skill architecture spanning strategy, technical orchestration, and executive communication. Core capability domains include formalizing cloud resilience strategies, establishing Service Level Agreements (SLAs), Indicators (SLIs), and Objectives (SLOs) that align infrastructure performance with commercial targets. This structural enablement relies on fluency in cloud security, DevOps methodology, and modern software architectures like microservices, which govern system stability and throughput. Incident response leadership is a critical interface point, necessitating expert command of escalation protocols and post-mortem analysis frameworks to rapidly reduce time-to-recovery (TTR) and embed institutional learning. Proficiency with project lifecycle tooling (such as Jira or GitLab) ensures organizational rigor in tracking availability improvements and managing technical debt. These integrated capabilities collectively stabilize the production environment, increasing the predictability required for large-scale enterprise consumption of advanced quantum-inspired optimization and AI solutions. * Accelerates commercial application readiness through formalized Service Level Objectives implementation.
* Standardizes enterprise deployment environments for new quantum-inspired optimization platforms.
* Reduces critical integration friction between novel quantum algorithms and legacy cloud systems.
* Elevates systemic resilience, mitigating risk exposure for early-adopter clients in regulated industries.
* Drives down latency and enhances throughput for large-scale AI model compression services.
* Institutionalizes robust disaster recovery frameworks crucial for sovereign technology programs.
* Optimizes the availability versus cost trade-off decisions within major cloud deployments.
* Strengthens inter-departmental collaboration necessary for complex deep-tech product delivery.
* Improves the traceability and auditability of service performance metrics for regulatory compliance.
* Increases client trust by ensuring continuous uptime for commercial quantum computing solutions.
* Shortens the iteration cycles for deploying resilience patterns across cloud infrastructure.
* Provides high-level strategic counsel on cloud architecture and infrastructure scaling dependencies.Industry Tags: Cloud Reliability Engineering, Hybrid Quantum Computing, AI Model Compression, Site Reliability Engineering, Deep Tech Infrastructure, AWS Cloud Architecture, Optimization Software, Incident Management, Quantum Applications
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