DevOps Developer, AI Automation
Platform/DevOps engineer on Stay22's Platform team in Montreal: architects and maintains cloud infrastructure (AWS, GCP), CI/CD pipelines, and monitoring, while driving agentic AI adoption to automate operations. Stack includes Terraform, Docker/Kubernetes, GitHub, Python/Go/JavaScript, and Prometheus/Grafana.
- Compensation
- Not disclosed
- Location
- Montreal HQ
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 3+ years of experience implementing Platform and DevOps solutions
- 3+ years of experience working in a high performing DevOps team or related roles
- 3+ years of experience in performance monitoring, alerting, and troubleshooting in an enterprise
- Experience integrating AI tools into development workflows, particularly Claude and GitHub (e.g., Claude Code, GitHub Actions, AI-assisted code review)
- Excellent experience delivering Infrastructure as Code via Terraform
- Experience with containerization technologies (e.g., Docker, Colima, Kubernetes)
- Strong scripting or coding skills in languages like Python, JavaScript, Go
- Experience supporting pipeline tools (GitHub, CircleCI)
- Understanding of monitoring and logging tools such as Prometheus, Grafana, or ELK stack
- Knowledge of security best practices and compliance standards, including secure coding and vulnerability scanning
- B.S. or M.S. in Computer Science or equivalent experience
Full description
-Version française à suivre-
About Stay22
Based in Montreal, Stay22 helps ambitious creators and intent-rich digital platforms turn their existing traffic into incremental revenue, with technology that works quietly in the background.
Today, more than 6,500 creators and platforms rely on Stay22, with over $1 billion in annual transactions flowing through the platform. Originally built for travel, the company now supports partners across retail, lifestyle, publishing, events, and transport as it expands its monetization infrastructure for the modern creator economy.
About the role
We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform, implementing AI agents that automate operational workflows and defining the baseline for how our engineering teams work with AI. Additionally, you will be responsible for designing, implementing, and maintaining the core infrastructure of a platform to support application workloads effectively.
This role involves architecting infrastructure, automating deployment and configuration, managing application code deployment, and ensuring optimal performance and availability through monitoring and troubleshooting.
Key Responsibilities
- Develop, deploy, and support cloud infrastructure as code artifacts or modules and applications
- Implement, maintain, troubleshoot and optimize CI/CD pipelines for multiple projects, and ensure automated security in each technology stack
- Implement agentic AI automation, to ensure minimal downtime and manual effort
- Design and support resiliency and scalability using AWS, GCP and other cloud platforms, and incorporate SRE and DevOps implementations.
- Configure application monitors using industry-standard monitoring tools, developing customized monitoring solutions as needed, including AI-assisted alert triage and incident response
- Create and manage development, staging, and production environments ensuring consistency and alignment with project requirements, and maintain up-to-date documentation for DevOps processes, procedures, and infrastructure configurations, as well as the team's guidelines and best practices for working with AI
- Articulate a long-term vision for maintaining and scaling infrastructure, including capacity and cost planning for hardware, software, and storage
- Interpret security policies and ensure platform designs conform with security guidelines, including guardrails and access controls for AI agents
- Manage source code repositories, branching strategies, and version control using GitHub