Product Security Architect
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of positions : 2
Job Description :
Product Security Engineer - Design Reviews / Threat Modeling
6+ months
Location : SF / Sunnyvale / Seattle / NYC Preferred.
Remote possible for a candidate that also meets "Preferred 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.
Context
Thousands of Uber engineers deploy new features often and they propose their feature in an engineering requirements document (ERD). Such a document contains justification, architecture, data flows, used libraries, etc. Some of those documents have a high security impact, while others do not. As Uber EngSec Architecture team, we provide guidance on how to design and deploy such features in a secure and privacy-respecting manner.
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)
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Contract
Job function
Job function
Information Technology
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- Location:
- San Francisco, CA, United States
- Salary:
- $200,000 - $250,000
- Category:
- IT & Technology