Permanent
Paris
Remote: Not specified
Salary: Not specified
> 3 years
Skills we're looking for
Operation monitoring
Cloud & infrastructure
Containerization and orchestration
Infrastructure as Code (IaC)
System administration
+11
You'll be part of
140 employees
Logiciels
Our take
As quantum computing shifts from the realm of theory to that of reality, Quandela is here to facilitate its accelerated uptake. The company supplies access to Quantum Processing Units via the "Quandela Cloud", and is also developing photonic quantum computers to sell to industrial customers. Through its cloud gateway, users can submit jobs to Quandela's quantum computers and monitor them from an online interface, helping to make quantum computing more widely accessible. The company also runs a computing platform called MosaiQ, through which new quantum computing algorithms and protocols can be prototyped, developed, and implemented. Having already made strides in the sector, Quandela's latest focus is the delivery of its commercial quantum computers, the first of which was bought and hosted by cloud provider OVHcloud in an industry-first transaction. Funding will support the expansion of this side of the business and otherwise support the company's as-yet-confidential roadmap.
You'll be working on
- As a Cloud DevOps Engineer, you will contribute to the infrastructure powering Quandela’s cloud and software platforms
- Working closely with our software and infrastructure teams, you will design, deploy and operate our infrastructure across multiple cloud environments, with a strong focus on Infrastructure as Code, automation, reliability and scalability
- You will contribute both to day-to-day operations and to the continuous evolution of our cloud architecture and DevOps practices
- Design, deploy and maintain robust, scalable and secure infrastructure across multiple cloud environments
- Provision and manage cloud infrastructure through Infrastructure as Code, primarily using Terraform
- Build and improve CI/CD pipelines supporting our applications and services
- Deploy and operate containerized workloads using Docker/Podman and Kubernetes
- Automate infrastructure configuration and operational tasks using tools such as Ansible, Python and Bash
- Monitor infrastructure and applications to ensure availability, reliability and performance
- Implement networking and security best practices across cloud environments
- Troubleshoot infrastructure, deployment and application issues in collaboration with development teams
- Improve observability, automation and operational processes
- Optimize infrastructure usage and cloud resources
- Contribute to architectural decisions and the continuous improvement of our cloud platform
We're looking for
- CI/CD environments, ideally GitLab CI/CD
- Networking and security principles in cloud environments
- You bring experience with:
- Terraform and Infrastructure as Code practices
- Configuration management tools such as Ansible
- Containers and orchestration technologies such as Docker, Podman and Kubernetes
- Experience with OpenStack would be a plus
- You are comfortable working in English and enjoy collaborating with international and multidisciplinary teams
- Monitoring, troubleshooting and operating production infrastructure
- You have hands-on experience as a Cloud, DevOps, Platform or Infrastructure Engineer, with a strong understanding of cloud infrastructure and automation
- You are comfortable managing infrastructure through code and working across cloud, containers, networking and software deployment
- Linux environments and system administration
- Cloud infrastructure and cloud providers
- Scripting and automation with Python and/or Bash
- Master’s degree in Computer Science, Information Technology, Engineering or a related field
- Professional working proficiency in English
- Previous professional experience, ideally 3+ years of experience in Cloud, DevOps, Platform Engineering, SRE or a related infrastructure role
How we hire
- Talent Acquisition Interview (30’ - 45’)
- Hiring Manager Interview (45’)
- Use Case (a live use case or one to be prepared at home and presented afterward)
- Meeting with the teams
- 2 reference check
- Offer