Senior Genai Cloud Engineer F

WE ARE BETCLIC Betclic, European leader in sports betting, is much more than just an online gaming site Also offering Poker, Horse Racing, and Casino games across various countries and continents, it is an inspiring and forward-thinking company: every day brings new challenges in a modern and dynamic environment. As an influential player in the tech industry, with strong and sustained growth over the years, we believe in innovation through diversity and inclusion and encourage everyone to reach their full potential. With our multicultural team, we provide an optimal, safe and responsible gaming experience, powered by cutting‑edge technology.

WHY JOIN US?

At Betclic, success comes from passionate and committed teams. Here’s why you’ll love working with us:

• An international and creative environment where every project is an opportunity to innovate
• Hypergrowth that brings new challenges and development opportunities every day
• A healthy work‑life balance: flexible remote work and workplace well‑being are essential pillars for us
• A unique and friendly atmosphere, with 1,600 employees across 5 countries and our headquarters in Bordeaux

ENTER THE GAME

At Betclic, GenAI is embedded directly into the user journeys of our gaming platform, powering features such as the Betclic Assistant available to our players. Within the GenAI Center of Excellence, the GenAI Cloud Infrastructure team builds and operates on AWS the shared platform that runs these production workflows. This platform includes a multi-provider LLM gateway, an agent observability platform, turnkey deployment blueprints, and a lab gateway for experimentation all across multiple environments. AI tooling for developers is handled by another team. Our mission is to build the infrastructure that powers GenAI workflows for our players and business teams. We also embrace an AI‑augmented way of working ourselves, using tools such as Claude Code and Codex. Our ecosystem evolves every week and so do our plans when needed.

YOUR ROLE WITHIN BETCLIC

In this role, your main missions will be:

• Build and operate the shared GenAI platform using Infrastructure as Code, including upgrades, security and access management, day‑to‑day operations, incident response, and support for internal teams
• Design turnkey infrastructure blueprints tailored to different use cases and requirements, with security, observability, and cost control built in from day one. One example is our Terraform module for deploying LangGraph agents
• Ensure end‑to‑end observability of the platform, while providing application teams with complete visibility into their workloads through logs, service health metrics, LLM requests, token consumption, and cost monitoring
• Make FinOps a core engineering practice, from the production platform to the infrastructure supporting experimentation and research
• Drive data‑informed technical decisions by evaluating future technologies and platform capabilities, including load testing, gateway routing and caching, self‑hosted inference, fine‑tuning, DeepAgents, and code execution sandboxes. For each topic, you’ll define the problem, evaluate the available options, and provide well‑supported technical recommendations
• Collaborate closely with cross‑functional teams including Architects, Cloud & SRE, Security, and Developer Experience (DevX), while actively sharing your expertise across the organization

TECHNICAL ENVIRONMENT

• Cloud: AWS (ECS/EKS, Lambda, RDS, Bedrock), with targeted use of Azure
• GenAI Stack: LiteLLM (proxy), LangSmith, LangGraph
• Infrastructure as Code: Terraform and Terragrunt
• CI/CD & Tooling: GitHub Actions, mise
• Observability: Datadog, OpenTelemetry
• Testing: Gatling
• Languages: Python, Shell
• AI‑Augmented Engineering: Claude Code, Codex

WHO ARE WE LOOKING FOR?

We are looking for passionate and curious professionals who bring kindness and a touch of enthusiasm

This job is for you if:

• You’re curious, eager to step outside your comfort zone, and you maintain a critical mindset—you validate with data before adopting new technologies
• You go beyond the surface: you investigate root causes and challenge edge cases before trusting a solution
• You’re a clear communicator with a collaborative, enabling mindset
• You bring the right level of experience: at least 3 years (Advanced) or 5 years (Senior) in Cloud, SRE, or Platform Engineering, with hands‑on experience operating AWS in production
• You’re proficient with Terraform, CI/CD, and distributed systems running at scale
• You already leverage AI tools to improve the way you work
• You’re fluent in English

For Senior candidates: you’ll be expected to drive end‑to‑end architec