ModiFace - DevOps Developer

DevOps Developer

Shape the future of beauty tech with us. As the pioneer of beauty tech within L'Oréal Groupe, ModiFace builds and scales groundbreaking AR and AI experiences for the world's most influential beauty brands. Our patented technologies are rooted in nearly two decades of advanced facial recognition research—originated from the research labs at the University of Toronto and further accelerated through close collaboration with L’Oréal’s Global Research & Innovation teams.

We power a diverse and sophisticated technology stack, tackling complex engineering challenges and making evolutionary advancements in a wide variety of emerging topics such as multi-modal GenAI solutions, specialized AI agents for beauty conversation, clinical-level skin analysis algorithms, and advanced computer vision and graphics.

Join our team and help us build next-generation digital solutions that redefine how millions experience beauty worldwide. Let's create the beauty that moves the world!

What You’ll Do 

• Work closely with developers and the DevOps team to oversee deployments and code releases
• Maintain, own, and improve the build and deploy pipeline
• Administration and automation of the AWS and GCP infrastructure and environments
• Continuously improve the tooling, applications and environments
• Work within an agile framework, contributing to the delivery of high-quality products.
• Work directly with the application development team’s tech lead and/or product owner to prioritization of infrastructure and DevOps tasks to meet the team’s business roadmap
• Understand the requirement of new feature request from other teams from the Toronto Factory, the Lab, the Paris teams and cybersecurity stakeholders, providing feedback from the DevOps team’s perspective and work on the implementation
• Develop and improve operational practices and procedures
• Actively participate in code reviews, testing, and champion best software development practices.
• Investigate and adopt new technologies including use of AI and agents when appropriate
• Provide guidance to the junior team members
• Foster a culture of continuous learning, collaboration, and improvement within the team.
• Communicate complex technical and business concepts effectively to diverse audiences.
• Automate (almost) everything!

What You’ll Need

• Bachelor's degree in Software Engineering or related technical fields
• 5+ years experience as an DevOps/Infrastructure Engineer in a cloud development environment
• 5+ years experience in administering GCP or AWS
• Very good understanding of DevOps concepts, techniques, tools and culture
• Expert in UNIX/Linux operating system.
• Experience working with Infrastructure as Code to manage and provision infrastructure
• Strong understanding of Cloud Networking VPC/Subnets, Load balancers, WAF and DNS management across multiple environments
• Experience with secrets management and IAM least privilege design across multiple accounts/projects
• Experience working on CI/CD pipelines such as Jenkins, GCP Cloud Build, etc.
• Familiarity with Security and Compliance tooling such as Guardduty, AWS Config, Crowdstrike, Tanium etc is nice to have
• Prior experience working closely with or being embedded with development teams
• Experience with Software Development lifecycles tools such as github, SonarQube and etc.
• Experience with monitoring tools such as AWS CloudWatch, GCP monitoring or similar for high availability and performant production applications
• Experience with Agile development methodologies and DevOps practices
• Implement robust security measures and ensure compliance with industry standards.
• Enjoy collaborating, learning from your colleagues, and teaching others.
• Scripting languages such as Bash or Python
• Experience working on AI tools such as Copilot, Claude Code and etc.