About the role
We are seeking an experienced SecDevOps Engineer to streamline our deployment processes, and enhance the scalability, reliability, and security of our infrastructure. The ideal candidate will have extensive knowledge of cloud technologies, containerization, CI/CD, security best practices, and infrastructure as code.
What we're looking for
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: Up to CAD $130K
Work Location: 1275 Av. des Canadiens-de-Montréal L'Avenue, Montreal, Canada - Hybrid
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.
