Lead the migration of our AI-powered neurotechnology platform to AWS, covering containerized applications, databases, APIs, and background processing services.
Select and configure AWS services to support scalability, reliability, and cost efficiency.
Secure our AWS environment through least-privilege IAM, network isolation, encryption, secrets management, access controls, and ongoing security monitoring.
Implement technical safeguards that support HIPAA and PHIPA compliance, including audit logging, secure storage, backup and recovery, data retention controls, and audit-ready documentation.
Support deployment and operation of Python backend services, REST APIs, PostgreSQL databases, and asynchronous processing pipelines using Celery and RabbitMQ.
Help integrate Amazon Bedrock and other AWS AI/ML services securely into our platform, with appropriate data protection and access controls.
Build and maintain GitHub Actions deployment pipelines for development, staging, and production, and manage infrastructure with Terraform or AWS CDK.
Implement automated security scanning, dependency and container vulnerability checks, patch management, threat detection, and incident response procedures.
Establish application and infrastructure monitoring, centralized logging, alerting, automated backups, disaster recovery, and performance optimization.
Track and optimize AWS spending using budgets, alerts, right-sizing, and regular infrastructure reviews.
Document our cloud architecture, security practices, deployment procedures, and operational runbooks, and train our internal team to maintain the platform independently.
Technologies:
AI
AWS
Architect
Backend
Cloud
CloudWatch
Celery
DevOps
Django
Docker
GitHub
IAM
Support
Linux
Network
PostgreSQL
Python
REST
RabbitMQ
React
Redis
Security
Terraform
Web
CI/CD
LLM
More:
We are seeking an experienced, hands-on AWS DevOps and Cloud Security Engineer to help establish secure, scalable, and cost-efficient cloud infrastructure for our AI-powered neurotechnology platform. The role works closely with our development and AI teams. Compensation is $90,000–$105,000 per year, with dental care, paid time off, and work-from-home benefits. The position is hybrid remote in Toronto, Ontario.
last updated 45 week of 2026
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AWS DevOps & Cloud Security Engineer • Toronto, Canada, United States