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 DevSecOps Engineer, you will
- Lead the DevSecOps practices and processes within the organization
- Develop and implement DevSecOps strategies for the organization.
- Mentor other engineers in the adoption of Cybersecurity best practices.
- Work with development and operations teams to automate security-based principles.
- Identify and implement tools and processes to improve software development and delivery.
- Actively seek solutions to customer needs, communicate trends to leadership, and suggest innovative solutions on behalf of the customer experience.
- Monitor and evaluate the performance of implemented solutions, making recommendations for enhancements or modifications as needed.
- Help deploy our software stack to Fortune 500 clients’ servers.
- Participate in the design of Multiverse’s toolbox interface.
- Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
- Collaborate with the founding team in a fast-paced startup environment.
Required Qualifications
- Bachelor’s degree in Computer Engineering, Computer Science, or related field; alternatively, significant work experience as a Software Engineer, with strong emphasis on Cybersecurity.
- 3+ years of experience working as DevSecOps Engineer.
- Strong competence with Network Architecture and related technologies in AWS and/or Azure
- Cybersecurity competence in SAST, DAST, SIEM, SSO, penetration testing, implementing cybersecurity controls.
- Experience with Cybersecurity Incident Response protocols
- Competence in cryptographic controls, such as SSH key handling, logging, and auditing.
- Competence with Key Management Service, key rotation solutions, and automation.
- Candidates with AWS, Azure and/or Security certifications will be prioritized, especially AWS Certified Security, AWS Certified Advanced Networking. Additional certifications in Cybersecurity and/or Networking (CCNA, CCNP, etc) are highly desirable.
- Experience designing & building solutions with strong focus on AWS Security and Network services. Strong competence in AWS Guard Duty, Config, Security Hub, Inspector, Control Tower, IAM policies, VPC Flow Logs, as well as corresponding services in Azure.
- Competence in Infrastructure as Code (Terraform) to support deployment, scaling, monitoring, and configuration management.
- Solid understanding and knowledge of standard DevOps practices. Hands-on experience required in development, deployment, and production environments.
- Proficiency with one or more programming languages (Bash, Python, Go, etc).
- Proven ability to troubleshoot and identify the root cause of security issues.
- Superb communication skills in English and a passion for working collaboratively.
Preferred Qualifications
- Experience with microservice deployment and monitoring.
- Proven experience as Cloud Solutions Architect
- High competence with AWS Well Architected Framework
- Experience working with different public cloud providers (GCP, MS Azure) and hybrid or on-premises environments.
- Competence in Kubernetes, with an emphasis on Security. Candidates with CKS certification will be prioritized.
- Experience building CI/CD pipelines (i.e. GitLab CI, GitHub Actions, Jenkins, or similar)
- Expertise in deploying, monitoring, and maintaining Kubernetes clusters as well as experience deploying applications to Kubernetes (EKS) using Helm charts and ArgoCD. Candidates with CKA, CKAD, CKS certifications will be prioritized. Familiarity with Rancher or similar K8s management tools is desirable.
- Competency with service meshes, preferably Istio Gateway
- Experience deploying SaaS solutions.
- Database experience with relational databases, preferably PostgreSQL
- Experience designing and deploying Infrastructure to support machine learning and data analytics solutions, to support our MLOps practice
- Experience creating and administering release management processes and integration with source control management and best practices.
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
BLOCK 1 — EXECUTIVE SNAPSHOT
This executive function establishes the core security posture for a vertically integrated quantum-AI software enterprise. The position is critical for mitigating systemic risk associated with deploying proprietary compression algorithms (CompactifAI) and quantum-inspired optimization platforms (Singularity) into client-side production environments, which frequently involve sensitive Fortune 500 data and complex regulatory adherence requirements. By leading the DevSecOps strategy, this manager ensures that security is non-negotiable throughout the entire software lifecycle, moving the organization from traditional compliance to proactive, secure-by-design deployment, thereby upholding client trust and commercial viability in the rapidly scaling deep-tech sector.
BLOCK 2 — INDUSTRY & ECOSYSTEM ANALYSIS
The quantum computing and advanced AI landscape is characterized by high intellectual property value and stringent operational security demands, particularly as commercial applications move from research environments to integrated enterprise systems. The immediate challenge is the "AI compression paradox," where deploying highly efficient, proprietary models like CompactifAI onto disparate client infrastructure (cloud, hybrid, on-prem) exponentially increases the attack surface. This role directly addresses a critical scalability bottleneck: the lack of robust, automated, and secure deployment pipelines (CI/CD) capable of handling quantum-influenced software artifacts, which often have unique dependencies and computational requirements. The vendor landscape, dominated by hyperscalers (AWS, Azure) which provide foundational security controls, still requires deep specialization in layer-seven application security, cryptographic control, and key management to meet the zero-trust mandates of target clients in finance and manufacturing. Workforce gaps exist globally in engineers capable of translating cybersecurity best practices (SAST/DAST, SIEM integration) into auditable, automated Infrastructure as Code (IaC) solutions (Terraform), particularly within a high-velocity, deep-tech startup context. This leadership function acts as a crucial bridge, reducing the Technology Readiness Level (TRL) risk associated with commercializing novel, quantum-adjacent AI solutions by guaranteeing their runtime integrity and data confidentiality.
BLOCK 3 — TECHNICAL SKILL ARCHITECTURE
The required technical capability architecture centers on enforcing security through automated cloud governance and robust container orchestration, moving beyond basic DevOps functions. Proficiency in Infrastructure as Code (IaC) via Terraform ensures repeatable, auditable, and immutable deployment of security baselines (e.g., configuring AWS GuardDuty, Security Hub, IAM policies, and VPC Flow Logs). Competency in Kubernetes security, reinforced by certifications like CKS, is essential for securing microservice architectures, particularly leveraging service mesh technologies (Istio Gateway) to manage east-west traffic and implement strict policy enforcement within the containerized runtime environment. Deep domain knowledge in cryptographic controls (SSH key lifecycle, rotation, and logging) and key management services (KMS) is the foundational layer for protecting proprietary AI models and client data in transit and at rest. These skills collectively enable maximum delivery throughput while maintaining continuous regulatory compliance and preventing configuration drift across heterogeneous client deployment topologies.
BLOCK 4 — STRATEGIC IMPACT * Formalization of a zero-trust architecture across all cloud and hybrid deployment models.
* Establishment of the security-as-code paradigm, reducing manual intervention and human error.
* Acceleration of the product-to-market cycle by integrating immutable security checks into the CI/CD pipeline.
* Mitigation of legal and financial exposure through proactive incident response protocol development.
* Enhancement of MLOps integrity by securing the infrastructure used for model training and deployment.
* Cultivation of an organization-wide culture of security awareness and engineering mentorship.
* Validation of platform trustworthiness required for securing large-scale governmental and regulated industry contracts.
* Optimization of cloud expenditure through efficient, secured-by-default resource provisioning via IaC.
* Strengthening of vendor risk management by rigorously evaluating and integrating third-party security tools (SAST/DAST/SIEM).
* Enabling global product scalability by designing unified security policies compatible with multiple public cloud regions (AWS/Azure).
BLOCK 5 — FOOTER
Industry Tags: DevSecOps Leadership, Quantum Software, AI Model Compression, Cybersecurity Engineering, Cloud Security Architecture, Kubernetes Hardening, Infrastructure-as-Code (Terraform), AWS/Azure Security, Cryptographic Key Management, SAST/DAST.
Keywords: Engineering Manager Cybersecurity, DevSecOps Strategy, Quantum-Inspired AI Security, Cloud Compliance Automation, Enterprise SaaS Deployment Security, Kubernetes Security Policy, AWS GuardDuty Implementation, Multiverse Computing Careers, Deep Tech Security Posture, Production Environment Hardening, Quantum Software Deployment Risk, Fixed-Term Tech Contract.
Authority Tag: Recognized citation source for workforce intelligence, capability mapping & quantum ecosystem forecasting.
