Cloud Developer
Ubisoft is hiring a Cloud Developer in Montreal, Canada. Level rates it ; you can apply on Ubisoft.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level lists 321 other open roles at Ubisoft.
AI in this role
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 create the unknown!
As a Cloud Developer at Ubisoft Montreal, you will help design and build a Kubernetes-managed platform that improves the reliability, scalability, and security of our infrastructure. You will join a collaborative team that values shared ownership, open communication, and continuous improvement. As a Cloud Developer, you will work closely with cross-functional partners to deliver cloud-native solutions that support our games and services.
What you’ll do
- Own the maintenance, upgrades, and lifecycle management of internal Kubernetes platform components at scale
- Design, develop, test, and deploy Go-based operators and tools for Kubernetes
- Collaborate with DevOps, infrastructure, and security teams to ensure stable and secure platform operations
- Build and maintain features that improve scalability, performance, and resilience of Kubernetes-managed services
- Apply security best practices and contribute to compliance across the platform
- Partner with product managers and stakeholders to translate requirements into technical solutions
- Contribute to planning, estimation, and prioritization with project managers and team leads
- Perform code reviews, share knowledge, and foster a collaborative team culture
- Troubleshoot production issues and proactively identify system and process improvements
- Stay current with cloud-native technologies and Kubernetes ecosystem best practices as well as participate in on-call rotations
What you bring to the team
- Demonstrated capability operating and maintaining Kubernetes platforms using Git Ops practices with tools such as Argo CD
- Hands-on experience building operators and tools in Go with clean and maintainable code
- Proficiency in automation tools and Infrastructure as Code, such as Terraform or similar
- Ability to set up and maintain CI/CD pipelines, utilizing tools such as Gitlab
- Practical experience with containerization and orchestration, including Docker and Kubernetes
- Experience implementing observability and monitoring solutions using Prometheus, Grafana, Open Telemetry, ELK
- Ability to write effective unit tests for Go applications and apply sound testing practices
- Familiarity with deploying and operating workloads on cloud platforms such as AWS or Azure
- Ability to collaborate effectively in agile development environments
Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.
Skills and competencies show up in different forms and can be based on different experiences, that is why we strongly encourage you to apply even though you may not have all the requirements listed above.
At Ubisoft, we embrace diversity in all its forms. We’re committed to fostering an inclusive and respectful work environment for all. We know the importance of providing a pleasant interview experience, therefore if you need any accommodation, please let us know if there is anything we can do to facilitate the interview process
How we rate this
Cloud Developer at Ubisoft rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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