Senior Software Engineer – AI Agent Platform

Company Description

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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 building a cloud platform that turns meaningful jobs into dependable agent work. This platform provides the foundations needed to build, run, and operate AI agents securely and at scale. It coordinates agent execution, manages reusable agent definitions and resources, maintains durable sessions, provides isolated execution environments, and connects agents to models, tools, knowledge, and internal services. Our goal is not simply to demonstrate what AI agents can do. We want to make them reliable enough for real production use: observable, secure, scalable, governable, and accessible through a range of applications and services. We are seeking an experienced Senior Software Engineer to help design and build these platform services, orchestration engine, and agent runtimes. You will work on distributed back-end systems that coordinate long-running work, provision isolated execution environments, stream results, manage failures, and serve multiple products and teams. This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, developer platforms, and applied AI—with significant scope for technical ownership and impact.

Responsibilities
Design and build platform services

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• Design, implement, and operate scalable back-end services for agent orchestration, execution, sessions, resource management, and platform control.
  
• Define clear service responsibilities, domain boundaries, and APIs that allow components and consumers to evolve independently.
  

Build dependable agent runtimes

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• Contribute to the systems that provision and operate isolated environments in which agents perform their work.
  
• Address challenges such as workload isolation, resource management, lifecycle control, streaming, cancellation, failure recovery, and communication with models, tools, knowledge systems, and internal services.
  

Develop Orchestration Capabilities

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• Build systems that coordinate agent runs across services and runtimes, carrying the appropriate identity, context, configuration, and resources throughout the execution lifecycle.
  
• Design for asynchronous and long-running work, partial failures, retries, idempotency, and durable state where required.
  

Engineer for production

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• Ensure that platform services are reliable, observable, secure, and cost-effective.
  
• Establish meaningful metrics, traces, logs, health signals, and operational tools. Diagnose failures across service boundaries and improve the platform based on production evidence.
  

Build cloud‑native infrastructure

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• Design and operate services on AWS using containerized and orchestrated environments.
  
• Work with technologies such as Kubernetes, container runtimes, virtualized execution environments, managed cloud services, and event‑driven infrastructure.
  

Protect platform boundaries

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• Treat identity, authorization, secret management, tenant isolation, and untrusted inputs as fundamental design concerns.
  
• Work closely with infrastructure and security specialists to ensure that agent workloads operate within explicit and enforceable boundaries.
  

Collaborate across teams

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• Partner with product engineers, infrastructure teams, security specialists, and teams building applications on Kobo.
  
• Translate product needs into reusable platform capabilities while avoiding application‑specific coupling in the platform.
  

Provide technical leadership

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• Lead technical design discussions, make and document pragmatic architecture decisions, review code, and mentor other engineers.
  
• Help improve engineering practices while remaining actively involved in implementation, testing, deployment, and production operations.
  

Evaluate emerging technology pragmatically

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• Follow developments in agent frameworks, runtime isolation, model access, and cloud infrastructure.
  
• Evaluate new technology based on concrete platform needs rather than novelty, and help determine when to adopt, adapt, or avoid it.
  

Qualifications

We are looking for a sea