Sr Staff Engineer, Security Research

Global financial technology platform powering TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
Security
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Finance · Enterprise SaaS

Description For Sr Staff Engineer, Security Research

Intuit, a leading global financial technology platform serving approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking a Senior Staff Engineer for their Applied Security Research team.

This high-impact role focuses on addressing Intuit's most critical security challenges, particularly in AI/GenAI security, cryptography, and data security. The position offers a unique opportunity to create company-wide impact by transforming reactive security processes into proactive improvements that enhance both code quality and developer productivity.

The ideal candidate will bring 8+ years of systems development or security research experience, combining deep technical expertise in security technologies with a strong understanding of AI/ML systems. You'll be responsible for exploring cutting-edge solutions, including LLM-driven tooling and compiler technology, to modernize production code and enhance security posture.

Key responsibilities include driving significant technical initiatives across architectural layers, designing durable software solutions for critical customer problems, and providing technical leadership to the engineering team. You'll work closely with cross-functional teams, both internal and external, to integrate solutions and drive customer adoption.

The role requires strong technical skills in security domains (authentication, authorization, cryptography), familiarity with AI/GenAI models, and cloud computing experience. Beyond technical expertise, you'll need excellent communication skills, the ability to work with global teams across time zones, and a proven track record of driving results through cross-functional collaboration.

This position offers the opportunity to work at the intersection of security and emerging technologies, contributing to the protection of millions of customers' financial data while pushing the boundaries of security innovation. You'll be part of a company committed to prosperity for all, working on challenges that directly impact the security and reliability of essential financial services.

Last updated 5 days ago

Responsibilities For Sr Staff Engineer, Security Research

  • Explore solutions using latest technologies to modernize production code and improve security posture
  • Combine LLM-driven tooling with compiler technology to create smart code pipelines
  • Drive significant technology initiatives across multiple layers of architecture
  • Design and implement durable software solutions for critical customer problems
  • Partner with cross-functional teams for design, solution integration, and customer adoption
  • Provide technical leadership and mentorship to software engineers
  • Drive security improvements and developer experience enhancements
  • Resolve complex technical problems and share key learnings
  • Provide perspective on industry trends and recommendations on new technologies
  • Coach and mentor other engineers in process and methodologies

Requirements For Sr Staff Engineer, Security Research

Python
  • 8+ years of experience in developing systems/software or security-related research
  • Strong familiarity with security technology, including authentication, authorization, policies, and cryptography
  • Familiarity with classic AI and Generative AI models
  • Solid design and coding skills
  • Ability to analyze complex systems from a security perspective
  • Experience with cloud computing
  • BS/MS in Computer Science or related area, or equivalent experience
  • Strong analytical, problem-solving, and communication skills
  • Ability to work with global teams across time zones
  • Experience driving results across cross-functional teams

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