Select, implement, design, and build services and tools to manage and deliver security intelligence across Toast platforms.
Identify, triage, and provide remediation guidance for application vulnerabilities, with a specific focus on anti-abuse activities.
Improve developer tooling and adoption to build a more robust SSDLC which integrates security and anti-abuse features.
Practice a #OneTeam attitude to help other Toast teams make informed, security-conscious decisions when building new public-facing software.
Assist incident response teams with application security expertise and tools, especially related to abuse and fraud.
Build threat models on Toast applications and use cases.
Guide in the design and maintenance of robust and resilient network and application architecture.
Collaborate to improve information gathering and sharing across all Toast products.
Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building
contributing to a culture of innovation and productivity across the team.
Requirements
Minimum 5+ years of experience in application security and security engineering.
Experience building and maintaining scaled Java web services in production.
Experience developing script applications in Python for scheduling and backend data handling.
Experience leveraging LLM AI features for software development and/or security operations.
Strong understanding of cloud application architecture.
Successful history of being a subject matter expert to guide colleagues toward better security outcomes, especially related to abuse, fraud and legal concerns.
Previous security experience working with fintech applications and associated requirements.
Strong understanding of privacy, security, and cryptography patterns and when to apply them, especially when handling customer information (such as PKIs, access management, data tokenization, and anonymization).