Intern investigating AI solutions for enhancing security posture of products and infrastructure. Hands - on experience in cloud security, threat detection, and automation.
About the role
- Security Engineer designing security architecture for AI-native customer data platform. Collaborating with engineers to map agent workflows and defining enterprise-scale security primitives.
Responsibilities
- Design-Time Threat Modeling: Collaborate alongside product and platform engineers to map new agent types, multi-agent workflows, and AI toolkits while architecture is still fluid to shape trust boundaries and threat models at design time.
- Agentic Security Primitives: Define the primitives necessary to make systems safe at enterprise scale, addressing unsolved problems regarding delegation models, multi-agent trust chains, data minimization in RAG workflows, and identity boundaries across customer-built agents.
- Architectural Hardening: Own outcomes for complex security areas, ranging from hardening Kubernetes or AWS Bedrock controls to designing trust boundaries for MCP integrations and tackling zero-day risks.
- Golden Path Engineering: Design policy-as-code and CI/CD controls for agent-assisted workflows to engineer secure defaults that act as velocity multipliers, enabling flawless engineering movement without routing around security.
- Structural Improvements: Lead the effort to detection, respond, and mutate architecture following control failures to turn incidents into structural improvements that prevent recurrence.
- Knowledge Codification: Maintain the security playbook for next-generation paradigms by producing opinionated guides, reference repositories, and posture telemetry that compounds over time.
Requirements
- A minimum of 5 years of experience in security engineering and architecture at a senior level
- Possess a deep understanding of cloud-native architecture at the identity, networking, and data-protection levels (specifically AWS or equivalent)
- Proficiency in writing production-grade Python, Terraform, or TypeScript to prototype controls, script policy checks, and review AI-generated code
- Demonstrated default to leverage, preferring automation by systems or agents over repeatable human tasks
- Ability to earn trust through rigorous logic and influence rather than authoritative mandate.
Benefits
- Competitive compensation packages
- Restricted Stock Units (RSU)
- Paid vacation and sick time
- Paid volunteer and mental health days
- Up to 26 weeks paid parental leave including a post-partum night nurse
- 16 Company holidays (includes 2 floating holidays)
- RRSP with 6% company match
- Employer provided Supplemental medical, dental, disability & life coverage
- Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit
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