• 4+ years of experience in Cloud DevOps, Site Reliability Engineering (SRE), or related roles
• Expertise in using AWS Cost Explorer to optimize cloud spending and resource allocation
• Proficient in implementing security best practices using the AWS Well-Architected Framework
• Strong knowledge of AWS services (VPC, EC2, S3, RDS, Lambda, ECS Cluster, ECS Service, ALB, Route 53, etc.)
• Hands-on experience with infrastructure as code (IaC) tools like Terraform and AWS CLI
• Experience with containerization (Docker) and orchestration tools (AWS ECS/EKS)
• Proven experience with CI/CD tools such as GitHub Actions, Jenkins, CircleCI, GitlabCI.
• Solid track record in setting up robust monitoring, logging, and alerting mechanisms (e.g., CloudWatch, Datadog, NewRelic, Prometheus, ELK, Grafana)
• Implementation of AWS security best practices including IAM, encryption, VPC, and security monitoring
• Experience ensuring infrastructure compliance with standards such as SOC2, ISO 27001, and GDPR
• Ability to troubleshoot and debug complex system failures in production environments
• Experience deploying applications built with Python and Next.js
• Experience with VPN setup, Secrets Management, Understand and build Network Topology
• Experience working with AWS reserved instances, Spot Instances (Spotinst)
• Experience with Third Party Authentication (Federated authentication), SSO setup
• Best Practices for creating, sharing and managing API KEYs

Even better if you have

• AWS Certifications (e.g., AWS Certified Solutions Architect – Associate/Professional or AWS Certified DevOps)
• Bachelor’s degree in computer science, Engineering, or a related field
• Experience with other cloud providers (Azure, GCP)
• Proficiency in scripting languages (Python, Bash, etc.)
• Strong communication skills to work effectively with developers, architects, and other stakeholders

Employment Type: Full-Time

Salary Range: $ 100K - $160K CAD

Work Location: 1275 Av. des Canadiens-de-Montréal L'Avenue, Montreal, Canada - Hybrid (2 days a week in office)

Why Join Us We offer a collaborative and dynamic work environment where your contributions will directly impact our business. You'll have the opportunity to grow professionally and gain valuable hands-on experience in AI and machine learning.

If you're a motivated and continually curious individual who's eager to contribute to cutting-edge technology, we encourage you to apply.