Senior Software Engineer, Scaleway
AI Products
1-3 days a week in office
Complete cloud ecosystem
Open for applications
Complete cloud ecosystem
501-1000 employees
Open for applications
1-3 days a week in office
501-1000 employees
Company mission
To power our fast-growing global digital infrastructure in a smart, responsible and renewable way.
Role
Who you are
- Strong experience with Golang in production environments
- Proficiency with Kubernetes and container orchestration tools
- Familiarity with AI inference stacks (e.g., vLLM, Triton, CUDA)
- Hands-on experience with deploying and scaling ML models
- Solid understanding of backend architectures and DevOps practices
- Extremely fast learner with high adaptability to new technologies
- Strong curiosity and willingness to dive deep into emerging AI tools
- Proactive mindset and readiness to take initiative
- Technical autonomy and ownership of your scope
- Clear communicator, capable of explaining complex systems simply
What the job involves
- Our growth is driving us to strengthen our AI Infrastructure team to support our next-generation inference platform
- Your mission will be to build and operate production-grade DevOps infrastructure for AI workloads, in order to enable the deployment and scaling of LLMs and generative AI applications on a sovereign European cloud
- We work in a collaborative and international environment where the diversity of Scalers, combined with a spirit of sharing, helps bring new projects to life every day, advancing our ambitions together
- You will be part of a team of 4 DevOps engineers, working closely on backend and infrastructure topics related to AI inference
- The team is part of a broader AI tribe focused on two strategic products:
- Managed Inference, a platform to deploy, scale, and monitor AI models in production
- Generative APIs, a unified API layer to access cutting-edge generative models (LLMs, Diffusion, etc.)
- You will report to Grégoire de Turckheim, who has been with Scaleway for over 14 years
- Build and operate infrastructure for serving LLMs and other generative models at scale
- Design, deploy, and maintain Kubernetes-based services optimized for AI inference
- Develop in Golang to build robust and efficient backend services
- Optimize serving stacks using tools like vLLM, Triton, and CUDA
- Integrate open-source AI tooling such as Hugging Face, KServe, or custom components
- Participate in architecture discussions and make high-impact technical decisions
- Keep up with the fast-paced evolution of AI serving ecosystems
- Troubleshoot and resolve complex infrastructure and deployment issues
- Collaborate with internal teams to integrate new AI features
- Contribute to code reviews and knowledge sharing within the team
Application process
- Discovery call with a recruiter (30 min)
- Technical interview to validate your expertise (1h)
- Operational Problem-Solving
- Interview with the Head of the Tribe to deepen your discussions and assess your fit with the team (45 min)
- HR interview to tour our offices and meet your future colleagues
Our take
Cloud computing is fast increasing in popularity and use, and many companies are turning to the cloud in order to better their functions. Scaleway enables developers and businesses to build, deploy and scale their applications for the cloud, with a focus on providing a range of options so that clients can access exactly what they need.
Scaleway, which labels itself “the cloud of choice”, delivers fully managed offerings for bare metal, containerization, and serverless architectures. It is attractive especially to startups, as it offers more flexibility than alternate cloud providers, and it boasts a smooth developer experience, carbon-neutral data centers, and native tools for managing multi-cloud architectures.
Scaleway is used by over 25,000 businesses including Golem.ai and Aternos. Aligning with its focus on bringing the cloud to startups, the company has launched a “Startup Program” where participators can earn cloud credits as well as gaining access to technical expertise and masterclasses. Scaleway has also partnered with Clever Cloud, in order to deliver an efficient alternative to for the automation of app deployment, enriching the product catalogues of both companies.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Company benefits
- Yummy: Whether you're working at La Maison or in a Datacenter, you get fresh breakfasts and snacks everyday to provide the fuel you need to innovate.
- Events, Hackathons, & Tech talks: We do believe that peer-to-peer sharing is essential, so we provide media-training courses, event planning support and conference tickets. No more excuses!
- Company outings: Work hard, play hard! We have an in-house bar with a large choice of beverages and games. Plus, we organize memorable & engaging (virtual or not) team events at least twice a month.
- MacBook Pro or ThinkPad laptop: Choose your laptop, MacBook Pro or ThinkPad 15" on your first day to get your job done.
- Flexrything & Remote: We choose to work in a flex office environment to grow new collaborative ideas and practices. We work in small product oriented teams to focus & execute faster. We don't track working hours, what matters is what you get done.
- No diplomas required: At Scaleway, we don't care about your degrees, we only care about what you know. Your skillset will be evaluated in regard to your technical experiences and skills.
Company HQ
Madeleine, Paris, France
Leadership
Albane Bruyas
(CCO and COO (Not Founder))Previously Advisory Board Member at Alyx. Previously Operations Manager at Toshiba, Consultant at Harpagon and Purchaser at LVMH.
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