Site Reliability Engineer – AI Applications (M/W/X)

Ubisoft; Saint-Mandé; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Profit sharing and savings plan

Generous PTO and parental leave

Job summary

Ubisoft is seeking an experienced Site Reliability/Platform Engineer to shape the reliability and scalability of our AI platform. You will own observability, capacity planning, and incident response while partnering with software, ML, security, and product teams to productionize AI services at scale.

Join a fast-moving environment where governance and risk awareness mix with cutting-edge AI infra. The role emphasizes strong automation, CI/CD practices, and cost-efficient operations across cloud

Qualifications

• Proven experience in SRE, platform or backend engineering across compute/data/distributed environments.
• Strong grasp of reliability practices: SLOs, error budgets, observability and capacity planning.
• Expert Python coding and practical Rust experience or willingness to work with Rust services.
• Hands-on with cloud platforms, Docker, Kubernetes, and production-grade service ops.
• Experience building CI/CD pipelines (GitLab preferred) and infrastructure as code.
• Solid understanding of distributed systems, APIs, networking, and debugging in production.
• Ability to move quickly in a fast-evolving AI platform while maintaining discipline.

Responsibilities

• Operate and improve reliability, scalability, and performance of the AI platform stack.
• Define and maintain SLOs/SLIs and error budgets to guide decisions.
• Build observability for infrastructure, services, and AI signals like latency and costs.
• Improve model/API serving efficiency across cloud, containers, and high-throughput contexts.
• Design graceful degradation, failover, and regional resilience patterns.
• Maintain repeatable deployment practices using GitLab CI/CD and IaC.
• Lead or contribute to incident response, post-incident reviews, and capacity planning.
• Collaborate with engineers, data scientists, ML engineers, security, and product teams.

Skills

SRE / Platform engineering

Reliability engineering

Python

Rust

Cloud platforms

Docker

Kubernetes

GitLab CI/CD

Infrastructure as Code

Distributed systems

Networking fundamentals

Team communication

Tools

Docker

Kubernetes

GitLab CI/CD

Infrastructure as Code

Job description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

Job Description

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.

Ubisoft's 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.