Security Software Engineer, AI & Automation - Canada
Tasks
- Advise stakeholders on AI and security use cases
- Automate security design reviews
- Automate threat modeling
- Build retrieval-augmented generation pipelines
- Build scalable data processing pipelines
- Build semantic search systems
- Contribute to incident response and on call support
- Develop REST APIs and platform services
- Develop automated code review tools
- Filter sensitive data
- Implement authentication and authorization
- Implement rate limiting
- Implement supply chain security controls
- Improve observability
- Integrate security guidance into engineering workflows
- Perform vulnerability analysis
- Prevent prompt injection
- Prioritize and remediate security risks
- Process codebases and document repositories
- Securely handle model inputs and outputs
- Securely handle sensitive data
- Serve as technical lead for security initiatives
- Support secure software development lifecycle automation
Perks/Benefits
- Cell phone stipend
- Healthcare stipend
- Paid public holidays
- Paid sabbatical
- RRSP match
- Remote work
- Vacation time off
- Wellness stipend
- WiFi Stipend
- Work from home equipment stipend
Skills/Tech-stack
AWS | Agent systems | Application Security | Authentication | Authorization | Cache invalidation | Caching | Containers | Data Filtering | Distributed Systems | Go | Infrastructure as Code | Injection prevention | Kubernetes | LLM APIs | Message Queues | Multi-Agent | Multi-Agent Systems | NoSQL | Observability | Performance Tuning | Prompt injection | Prompt injection prevention | Python | REST APIs | Rate Limiting | Redis | Retrieval-Augmented Generation | SSDLC | Semantic Search | Sensitive data | Sensitive data filtering | Serverless | Streaming | Supply Chain | Supply chain security | Threat modeling | “as-code”
Education
N/A
Roles
Engineer | Security | Security Software Engineer | Software Engineer
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