Site Reliability Engineer – AI Applications (MWX)

At Ubisoft we are reshaping how teams work with information through AI. We build and operate applications for document-rich interactive and intelligent use cases including hybrid search question answering document generation conversational assistants agentic workflows and coding assistants.

You will join the team responsible for the reliability scalability and operational excellence of the AI platform powering these experiences. This includes the AI Gateway MCP servers LLM serving infrastructure retrieval services and the surrounding platform components that help teams bring AI applications to production safely.

This role sits at the intersection of fast-moving AI engineering and disciplined site reliability engineering. You will help the platform evolve quickly while ensuring it remains observable resilient cost-efficient and dependable at scale.

Responsibilities

• Operate and improve the reliability scalability and performance of the AI platform including the AI Gateway MCP servers LLM serving retrieval services and related platform components.
• Define and maintain SLOs SLIs and error budgets to guide reliability decisions and balance delivery speed with platform stability.
• Build strong observability across infrastructure services and AI-specific signals such as latency token throughput model/provider errors cost saturation and quality indicators.
• Improve the performance efficiency and cost profile of model and API serving across cloud containerized and high-throughput environments.
• Design graceful degradation fallback and failover strategies including model provider and region-level resilience patterns.
• Maintain safe repeatable deployment practices using GitLab CI/CD infrastructure as code automated testing and progressive delivery where appropriate.
• Lead or contribute to incident response post-incident reviews capacity planning and reliability improvements.
• Partner closely with software engineers data scientists ML engineers security teams and product stakeholders to productionize AI services responsibly.
• Help establish operational standards runbooks dashboards and best practices for AI application reliability.

Qualifications :

Must-Have

• Proven experience in SRE platform engineering backend engineering or infrastructure roles in compute-intensive data-intensive or distributed environments.
• Strong understanding of reliability engineering practices including SLOs error budgets observability capacity planning incident management and post-incident analysis.
• Strong programming skills in Python and practical experience with Rust or a willingness to work deeply with Rust-based services.
• Hands-on experience with cloud platforms Docker Kubernetes and production-grade service operations.
• Experience building and maintaining CI/CD pipelines preferably with GitLab and working with infrastructure as code.
• Solid understanding of distributed systems microservices APIs networking fundamentals and production debugging.
• Ability to move quickly in a fast-changing AI ecosystem while applying the rigor discipline and risk awareness expected from an SRE.
• Clear communication skills and the ability to collaborate across engineering data ML security and product teams.

Nice-to-Have

• Experience operating AI infrastructure such as AI gateways MCP servers LLM serving stacks model routers or provider abstraction layers.
• Familiarity with RAG and agentic architectures including embeddings vector databases hybrid search query processing tool use and agent orchestration.
• Experience with GPU-backed inference high-throughput serving batching caching autoscaling or model performance optimization.
• Experience with serverless event-driven systems queues streaming platforms or asynchronous processing.
• Familiarity with AI safety governance auditability data privacy or secure-by-design platform practices.
• Open-source contributions technical writing talks or publications in relevant engineering reliability or AI infrastructure fields.

Additional Information :

You will work on projects that shape the future of AI at Ubisoft. You will stay close to emerging AI infrastructure and reliability practices influence how we operate AI platforms at scale and help teams deliver useful safe and dependable AI-powered applications.

Ubisofts perks
Profit Sharing yearly company saving plan. 25 paid time off 12 additional paid days off. 50% of your transportation pass is paid by the company lunch vouchers (9/day) healthcare for you and your family and lots of Ubisoft additional perks. 
Maternity leaves of 20 weeks paternity/co-parental leaves of 7 weeks. 
Our office is located in Saint Mandé (Metro line 1 Saint Mandé station). Gym available in the building.  

Information about Ubisoft 
Ubisoft offers the same job opportunities to all without any distinction of gender ethnicity religion sexual orientation social status disability or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers community. 
 

Remote Work :

No

Employment Type :

Full-time