Senior DevOps
About Weflayr
Weflayr is an AI gateway built to give its users the highest level of control and quality on dynamic model routing. It routes using each user’s own past data: each candidate model is benchmarked on it, and the routing engine uses the results to pick the best model for each call.
We raised a $2.5M pre-seed and are incubated in the F/AI program. We have opened the product to a small group of beta testers and plan to release it globally in the coming weeks.
About the role
You will own the infrastructure & security of Weflayr as we scale, making sure it remains resilient at high throughput. You will also build & maintain our LLM inference stack. Example tasks that you will be doing:
- Migrate our ECS/Lambda stack to Kubernetes if relevant
- Improve our production stack as we scale in a cost-efficient way
- Help maintain our SOC 2 / ISO 27001 certifications
- Serve open-source LLMs distributed by our gateway
- Training / serving of fine-tuned models (LoRA) (PS: it may come a bit later on)
We are a very horizontal team: you will work hand in hand with our CTO, Noé Achache, and the rest of the tech team.
📍 Based in Paris: we truly believe that to achieve great things, we need to be together, to celebrate the good times, support each other through the harder ones, and above all because, at such an early stage, the most important decisions are made in informal discussions. We do offer some flexibility to suit everyone’s needs, e.g., working remotely one day a week, or a full week a couple of times a year.
What we are looking for
You are a good fit for this job if:
- You are looking for a big challenge, and want to take on a high level of ownership, with the level of proactivity and dedication that is needed to succeed. You want to take pride in contributing to the success of Weflayr as a whole, rather than succeeding on your own individual subjects.
- You have 5+ years of professional experience building and running infrastructures by tens of thousands or more
- You have deep experience with:
- at least one hyperscaler (not necessarily AWS)
- Terraform
- Kubernetes
- You have strong foundations in security
- You have already served an LLM in production with all the run that comes with it
- You write 100% of your code with AI, but still use your engineering skills to plan/validate your work
- You have very good soft skills (communication, adaptability, collaboration, …)
- Although you are a technician, you also care deeply about the product, and you take pride in seeing your work being used by real users.
- Being pragmatic is your core value: what drives you is to build things that work when needed rather than building something super advanced that may not be needed.
Technical stack
- ☁️ AWS (Lambda, ECS, ALB, SQS, …)
- 💽 ClickHouse / PostgreSQL / Valkey
- 🗣️ Terraform / Python / React / Rust
- 🚨 Sentry, CloudWatch
- 👨💻 Claude Code
- Others: vLLM, DVC, GitHub Actions
Our team
We are a small team (currently 3 people + freelancers) working hand in hand.
Our founders:
- Romain Mazeries, co-founder & ceo: Former co-founder and CEO of MangoPay, a payment fintech company he built and scaled up to 120M€ in annual revenue.
- Noé Achache, co-founder & cto: Former Head of AI Engineering at Theodo Data & AI, where he led the development of various ML/DL projects and AI agents in production.
Compensation
80k€ to 120k€+ and equity depending on profile.
Process
- 15 min intro call
- 45 min infra skills (video call)
In person, at Station F:
- 45 min engineering skills with Noé (CTO)
- 30 min with Romain (CEO)
- Coffee or lunch with the founders, to make sure there is a mutual fit
- Reference checks
How to apply
Send your CV + the role you’re interested in to hiring@weflayr.com
