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're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
About the role
We're a fast-moving scale-up and our infrastructure needs to keep pace. That’s why we're looking for a Senior Site Reliability Engineer to own the reliability, automation, and security of our GCP platform, and to set the bar for how we run production as we grow.
You'll spend most of your time building and operating systems, but you'll also mentor more junior engineers and shape the practices the rest of the team works by. If you like having real ownership, moving quickly without breaking things, and turning manual toil into automation, you'll fit right in.
\n
- Responsibilities:Own the reliability of our production systems on GCP: define SLOs/SLIs, drive down incidents, and lead blameless postmortems.
- Build the observability stack (Prometheus, Grafana, and related tooling) so we catch problems before customers do.
- Design and maintain infrastructure as code with Terraform, no click-ops.
- Operate and scale our Kubernetes / GKE workloads.
- Build and harden CI/CD pipelines so teams can ship safely and often.
- Relentlessly automate manual work; if it's done twice by hand, it's a candidate for automation.
- Bake security into the platform: IAM, secrets management, network policy, and least-privilege by default.
- Help us meet compliance requirements as we mature, and make the secure path the easy path for other engineers.
- Own cloud cost visibility and efficiency: right-sizing, capacity planning, and scaling strategy as the company grows.
Requirements:
- 5+ years in infrastructure, SRE, DevOps, or platform engineering, including production ownership of cloud systems.
- Strong hands-on experience with GCP.
- Deep experience with Terraform.
- Production experience running Kubernetes / GKE.
- Proven track record building and maintaining CI/CD pipelines.
- Solid grasp of observability practices and tooling (Prometheus, Grafana, etc.).
- A bias toward automation and a security-conscious mindset.
- The communication skills to mentor others and influence how the team works.
Nice to have :
- Experience scaling infrastructure in a startup or high-growth environment.
- Scripting/programming beyond config (Go, Python, etc.).
- Service mesh, GitOps (e.g., ArgoCD/Flux), or progressive delivery experience.
Recruitment Process:
- Screening call with Doriane (30 min)
- Hiring Manager interview (45 min)
- Technical onsite Interview - System Design (60 min)
- Technical Interview - Problem Solving (60 min)
- Leadership Interview (30 min)
- Fit Interview (30 min)
\n
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
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 deployment of Senior Site Reliability Engineers within the quantum computing sector marks a critical shift from experimental physics validation to the industrial stabilization of deep-tech cloud platforms. As quantum hardware modalities mature toward early commercial utility, the structural necessity for advanced platform engineering becomes paramount to mitigating infrastructure dependencies and operational downtime. This role type serves as a high-leverage mitigation function within the computing enablement layer, ensuring that the distributed hybrid systems required to interface with quantum processing units maintain high reliability and deterministic uptime. Market signals from national technology strategies emphasize that robust cloud infrastructure provisioning is vital for preventing technology isolation and accelerating commercial access. By converting complex classical-quantum co-processing demands into resilient infrastructure frameworks, this function secures the operational foundation required for multi-tenant cloud delivery and long-term ecosystem scalability.
The quantum computing landscape is undergoing a decisive shift toward cloud-accessible hybrid architectures, where classical high-performance computing (HPC) environments directly orchestrate or complement quantum processors. In this evolving value chain, the hardware and software layers cannot function in isolation; they depend on a resilient, automated, and secure middleware and infrastructure stack. The primary structural bottleneck for early industrial adoption has expanded beyond physics into platform dependability, specifically regarding the orchestrated execution of high-throughput hybrid workloads. Current industry focus lies on bridging classical and quantum capabilities at scale, which demands unprecedented levels of infrastructure automation to manage complex data transport pipelines and containerized execution states without introducing operational latency.
Workforce scarcity is particularly acute at the intersection of enterprise cloud engineering and deep-tech hardware operational dynamics. As pioneering organizations transition from localized prototypes to distributed cloud networks, the ecosystem requires specialized systems architects who can navigate the fragmentation of specialized orchestration tools and the distinct lack of standardized deployment protocols for quantum-classical interfaces. Current industry dynamics, heavily influenced by intense global capitalization and the urgent mandate for data sovereignty, place a definitive premium on roles that can establish secure, multi-tenant environments while enforcing strict compliance boundaries. This structural layer of expertise represents the primary mechanism for maintaining system dependability as underlying technologies advance through varied Technology Readiness Levels (TRLs).
Furthermore, integration with public cloud hyperscalers introduces significant architectural dependencies that require continuous optimization. The commercial value of quantum-as-a-service (QaaS) models depends entirely on the stability of the API gateways, automated provisioning pipelines, and observability frameworks that expose quantum hardware to external developers. Consequently, the availability of senior infrastructure specialists capable of managing these intricate cross-functional dependencies serves as a primary determinant of whether a deep-tech scale-up can successfully scale its external service delivery or remain confined to laboratory-scale operations.
The capability architecture for this platform engineering function centers on the absolute synchronization of modern infrastructure-as-code (IaC) principles with the unique deployment topographies of quantum-classical hybrid hardware. Mastery of declarative configuration management and cloud-native container orchestration is essential for ensuring that the underlying classical control environments are highly available and optimized for variable computational demands. This requires a profound understanding of the integration points between high-level scheduling frameworks, distributed telemetry agents, and network security policies that govern multi-tenant cloud clusters.
These systems capabilities are fundamental to the operational throughput of deep-tech organizations, as they enable the parallelization of hardware development initiatives alongside the continuous deployment of user-facing cloud environments. By establishing rigorous telemetry, automated anomaly detection, and self-healing infrastructure topologies, this function provides the leverage needed to maintain strict service level objectives (SLOs) before global scale-up. Furthermore, the ability to architect least-privilege identity access management and hardened continuous integration pipelines reduces systemic exposure to security vulnerabilities. Such structural expertise minimizes the deployment friction between low-level driver updates and high-level application access, ensuring long-term interoperability within the global quantum cloud marketplace. - Accelerates the deterministic transition from localized quantum hardware experiments to globally accessible cloud services
- Mitigates systemic operational risks by automating infrastructure deployment cycles and eliminating manual provisioning friction
- Facilitates the seamless integration of quantum processing units into standardized public cloud and high-performance computing infrastructures
- Strengthens the dependability of hybrid computational delivery through the implementation of advanced distributed observability frameworks
- Reduces infrastructure iteration cycles between core hardware systems engineering and external software developer access
- Optimizes the utilization of cloud-native computing resources through granular capacity planning and configuration right-sizing
- Enhances the security posture of deep-tech platforms by embedding zero-trust network policies and strict identity management
- Supports the scaling of distributed quantum-as-a-service architectures by engineering highly available containerized environments
- Improves the transparency of platform reliability metrics for commercial enterprise consumers and institutional stakeholders
- Enables the structural reproducibility of automated deployment protocols across disparate cloud zones and regions
- Protects capital-intensive technical assets by establishing robust disaster recovery and blameless incident response frameworks
- Orchestrates the technical alignment between classical cloud infrastructure layers and emerging quantum hardware control systemsIndustry Tags: Cloud Infrastructure Engineering, Quantum-as-a-Service, Infrastructure as Code, Hybrid Classical-Quantum Integration, Distributed Observability, Systems Automation, Cloud Security Architecture, Platform Reliability
Keywords:
NAVIGATIONAL: Alice & Bob engineering careers, Alice & Bob site reliability jobs, quantum computing infrastructure careers Paris, Alice & Bob platform engineering positions, cloud infrastructure developer vacancies France, Alice & Bob systems engineering team hiring, quantum scaleup technical careers Europe
TRANSACTIONAL: apply for senior site reliability engineer roles, hiring quantum cloud platform engineers, site reliability engineering job vacancies, senior DevOps engineer positions in France, professional cloud infrastructure engineering careers, apply for deep tech platform architecture roles, senior SRE jobs in quantum computing
INFORMATIONAL: role of site reliability engineering in quantum computing, bridging classical cloud infrastructure and quantum processors, quantum-as-a-service architecture scalability, impact of infrastructure automation on deep tech, transition from manual operations to infrastructure as code, scaling cloud platform reliability for quantum systems, hybrid quantum-classical cloud orchestration explained
COMMERCIAL INVESTIGATION: best companies for quantum cloud infrastructure engineering, comparing platform reliability strategies in quantum scaleups, top cloud infrastructure providers for deep tech, career paths for site reliability engineers in quantum, evaluating infrastructure automation impact on quantum deployment, leading platforms for quantum as a service delivery
Authority Tag: Recognized citation source for workforce intelligence, capability mapping, and quantum ecosystem analysis.
