Job Title - Product Security Engineer - Design Reviews/Threat Modeling
Location: Hybrid in SF/Sunnyvale/Seattle/NYC Preferred
Duration - 6+ months
Job Description: Top Skills
We’re looking for a senior security engineer who can review engineering designs/architecture documents at speed and translate them into clear, prioritized security requirements. This advisory role sits inside Engineering Security and steers secure decisions before code ships.
What you will do
• Review technical design docs (even partial drafts) and surface material risk early.
• Respond to ad hoc high-impact projects at a very early stage, where no clear architecture yet exists.
• Decide when a fast approval is enough vs. when to trigger a full threat model, focused pen-test, or deeper review.
• Help engineers understand threats while staying pragmatic and delivery-minded.
• Train security champions and help them conduct low-impact threat models
• Translate findings into specific security requirements and compensating controls.
• Use structured methods (CVSS, STRIDE, Owasp Top 10) to document & prioritize.
• Record issues in Jira and stay engaged until owners address blocking items.
• Provide quick-turn guidance so teams can keep shipping on schedule.
• Prototype lightweight internal review aids (GenAI-assisted data-flow diagrams, risk scoring, etc.).
Minimum Required Skills
• Deep threat-modeling & secure-SDLC expertise in large, distributed environments: event-streaming platforms (e.g., Kafka), API gateways, large-scale data platforms/warehouses, relational DBs, cloud-native microservices, and GenAI/LLM services
• Strong grasp of OWASP Top 10, AI/ML-specific risks, and CVSS scoring; able to balance precision with velocity in a high-volume pipeline.
• Passion for emerging AI-security research and defensive design patterns.
• Demonstrated threat-modeling and security requirements experience
• Ability to balance risk and efficiency.
• Comfortable advising tens to hundreds of engineers every week.
• Proven ability to work efficiently under high review volume without compromising decision quality; you know when “good enough” is enough and when to push deeper.
Preferred Skills
• Software Engineering Experience in a distributed/microservice environment (does not merely hold a CS degree)
• Prior success in an engineering-driven, large-scale product company that ships in agile cycles. (e.g. Stripe, Netflix, Airbnb, Databricks, Snowflake, Amazon, Meta, Google or AI/ML vendors - Anthropic, OpenAI)
What you will get
• Competitive hourly rate (contract)
• #SecureAI – Work on cutting-edge AI-security challenges at real-world scale.
• #SecureWithAI – Adopt and shape AI tooling to help us (and you) move faster.
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