Sr. Security Software Engineer, Internal Identity & Access Management

The Internal Identity & Access Management (I2AM) team is responsible for critical production infrastructure that provides a foundational notion of Identity and strong authentication and authorization controls across Pinterest. Our backend is primarily written in Golang, Python with some C++ while our frontend tools are written in React and TypeScript. We’re looking for an experienced software engineer who will help us build robust tooling to define and evaluate access controls across production infrastructure. A security background is not necessary but ideal candidates will have familiarity with the problems or related spaces, such as Infrastructure or Identity.

What you’ll do:

• Help shape our identity and authorization controls for users, services and AI Agents.
• Design, implement, and maintain mission-critical software that will help us deliver robust IAM infrastructure and libraries to our customers.
• Leverage Agentic AI  to improve systems and least privilege, while applying judgment and verification to ensure correctness and quality. Improve code quality and system performance using AI Coding Agents.
• Collaborate with a variety of teams to build performant and resilient AAA (Authentication, Authorization, Auditing) platform controls into various high-traffic services including our AI Agents, online/offline data platforms, databases, service mesh (Envoy) and other critical infrastructure components
• Represent the I2AM team across the Security Organization and with our X-org partners, including Networking, Data Platform, Cloud Platform, Agent Platform and product teams.
• Work with and mentor more junior engineers on the I2AM team

What we're looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
• 4-5+ years of software development experience
• A history of building & operating large scale distributed systems
• Past experience influencing technical architecture and roadmap adoption while working across other teams
• Proven track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• Demonstrated ability to prototype and use AI tooling to improve reliability and quality of day-to-day workflow and system performance.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Experience in some of the following areas is a strong plus:
• Infrastructure provisioning tools (Terraform, Puppet, etc.)
• Identity, Account Security, Authentication/Authorization (OAuth, SAML, RBAC) protocols
• AWS or other public cloud infrastructure, containerization such as Kubernetes 
• Familiarity with networking protocols (Application layer)

In-Office Requirement Statement: