Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We are at the forefront of the quantum race, competing with tech giants such as Google or IBM, and we are growing fast after securing €100 million of funding in 2025 to develop our unique technology.
Currently 100+ and counting, between physicists, PhD students, engineers and experienced business professionals, we are united to reach our ambitious goal. Are you a quantum pioneer? Join us on a mission to reshape the future!
About the role :
We are looking for a Senior IT Automation Engineer to scale automation initiatives across our IT infrastructure and beyond.
You will act as the company’s automation expert and architect, designing robust, reusable solutions that streamline IT operations and enable other teams to automate their own processes.
This role sits at the core of a cutting-edge quantum computing environment, where reliability, scalability, and automation excellence are critical.We are looking for a Senior IT Automation Engineer to implement automation initiatives across our IT infrastructure and beyond. You will be the automation expert, designing and deploying solutions that streamline IT operations while also enabling automation capabilities for other teams across the organization in the quantum computing field.
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Responsibilities :
- Design and implement automation for server provisioning, configuration, and lifecycle management (Ansible, Terraform, PXE)
- Develop and maintain Infrastructure as Code and GitOps practices
- Automate identity and access management workflows (Azure AD onboarding/offboarding, access requests, self-service tools)
- Build and maintain custom automation tools and scripts (primarily in Python)
- Integrate systems and APIs to orchestrate end-to-end automation workflows
- Design automation solutions for other departments and act as an internal automation consultant
- Create frameworks, standards, and reusable components enabling teams to automate safely and efficiently
- Maintain and improve CI/CD pipelines related to infrastructure and automation
- Document automation solutions and support teams in adopting best practices
Requirement :
- 4+ years of experience in IT automation and infrastructure engineering
- Strong expertise in Ansible and Python for automation and tooling
- Solid infrastructure background (Linux, Kubernetes, networking fundamentals)
- Hands-on experience with Infrastructure as Code (Terraform, Ansible)
- Experience with CI/CD pipelines and GitOps practices
- Knowledge of identity and access management systems (Azure AD or equivalent)
- Ability to design automation solutions at scale and understand complex infrastructure architectures
- Strong problem-solving skills, autonomy, and attention to detail
- Excellent communication skills and ability to collaborate across teams
Benefits :
- Our success is your success: own it with our BSPCE plan
- Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
- Flexible remote policy, up to 40 % a month
- A Parental Plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
- Subsidized membership withUrban Sports Club
- Mental health support with moka.care
- 25-day vacation policy (as per French law) + RTT
- Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
- Competitive health coverage with Alan
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
- French language courses covered by the company for those interested
Recruitment Process :
- Screening Call with Doriane
- Technical Interview/Presentation with the Team (60 min)
- Hiring Manager Interview (45 min)
- Fit Interview (30 min)
- Founders/C-level Interview (30 min)
- Reference check
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Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The Senior IT Automation Engineer role is structurally critical for advancing Technology Readiness Levels (TRL) in the quantum computing sector, where hardware complexity meets high-velocity R&D demands. This function translates manual operational processes into scalable, programmatic infrastructure management, directly impacting system uptime and engineering iteration cycles. By institutionalizing Infrastructure as Code (IaC) and GitOps practices, the position ensures platform stability and security compliance, mitigating risks associated with bespoke, rapidly changing experimental environments. The role's impact centers on maximizing developer throughput and establishing a reliable classical foundation necessary for fault-tolerant quantum machine development.
The operational backbone of the quantum computing value chain relies heavily on seamless integration between highly specialized hardware and robust classical support systems. Currently, a significant macro constraint across the sector is the talent shortage in bridging deep physics expertise with high-maturity enterprise IT practices, leading to potential scalability bottlenecks. Automation engineers fill this gap by standardizing the deployment and maintenance of the cloud, compute, and networking resources that govern quantum control systems and research environments.
As platforms mature from experimental prototypes to commercial-grade offerings, the stability provided by advanced IT automation becomes a non-negotiable factor for customer adoption and internal R&D efficiency. The inherent complexity of managing superconducting qubit systems, as pioneered by Alice & Bob, necessitates stringent configuration management that only automation at scale can provide. This enables faster deployment of new research infrastructure and secures proprietary Intellectual Property (IP) through tightly controlled access and lifecycle management, vital concerns given significant public funding cycles and geopolitical competition in quantum technology development. Workforce and infrastructure development remain priority areas across the value chain.
The technical architecture for this specialization spans several core capability domains: programmatic infrastructure definition, state configuration management, and cross-platform orchestration. Foundational command over declarative tools like Terraform and Ansible is essential for defining repeatable, version-controlled infrastructure environments, which minimizes configuration drift between development and production systems. Scripting mastery, typically in Python, provides the necessary abstraction layer to integrate disparate systems—such as cloud identity providers (e.g., Azure AD) with on-premise compute—ensuring secure, automated access provisioning. Furthermore, deep engagement with CI/CD methodologies and GitOps principles ensures that all system changes are transparent, auditable, and traceable, which is paramount for maintaining data integrity and regulatory compliance within sensitive R&D environments. These capabilities are crucial for supporting the intense iteration speed required for next-generation superconducting quantum technology development.
Deploys standardized environment configurations across global research hubs.
Accelerates the time-to-market for quantum system upgrades and platform features.
Reduces operational friction between core R&D teams and infrastructure deployment.
Establishes auditable governance over sensitive intellectual property resources.
Mitigates system failure risk through immutable infrastructure provisioning.
Optimizes resource utilization across hybrid classical and quantum compute layers.
Facilitates secure, rapid scaling of the internal workforce onboarding lifecycle.
Drives adoption of robust software development lifecycle practices within IT.
Enhances system resilience against configuration drift and security vulnerabilities.
Standardizes deployment patterns for future commercial quantum cloud offerings.
Decreases mean time to resolution (MTTR) for infrastructure-related incidents.
Creates reusable automation tooling to empower broader engineering enablement.
Industry Tags: Quantum Computing, IT Infrastructure, DevSecOps, Configuration Management, Superconducting Qubits, Fault Tolerance, Infrastructure as Code, Deep Tech, Enterprise IT, Platform Engineering, DevOps
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