IAM Product Engineer

The mission of this role is to safeguard and enhance the reliability, security, and usability of Red Sift's Identity and Access Management (IAM) and platform front-end systems. We ensure seamless, secure user experiences while maintaining robust access controls, empowering teams to innovate confidently on a trusted foundation.

You will contribute to diverse projects, operationalizing admin procedures to empower users and internal teams, and optimizing internal platform services like authentication and subscription management for peak performance and stability. Your responsibilities will be varied and impactful, offering a dynamic and challenging work environment.

A fundamental aspect of this position is the design and construction of robust, scalable, and high-performing code. You will be instrumental in building the platform that opens the door to all our current and future cybersecurity products.

We expect you to perform this role with high autonomy and sense of ownership while collaborating with and working through external teams and dependencies.

We expect you to operate with an AI-native mindset, leveraging shared standards, context-rich documentation, and automated agent loops to ensure our IAM platform is both secure and highly resilient. We value engineers who proactively build and maintain a workflow that makes AI development reliable and scalable.

You are a collaborative Software Engineer with proven professional experience in Javascript/Typescript, React, and Node.JS, you possess a strong understanding of API design, consumption, and client-side logic.

You are proficient in writing unit and integration tests and have experience with NoSQL databases like Mongo and version control systems such as Git. With excellent problem-solving skills and attention to detail, you demonstrate a solid understanding of software development principles, design patterns, and best practices.

You have experience in cloud platforms, deployment processes, and OAuth-like flows. Ideally with experience integrating LLM providers.

You are a practitioner of AI-native development. You don't just use AI, you orchestrate it. You are comfortable using structured prompt engineering, managing context/token usage, and applying specialized agents for testing, PR reviews, and code refinement. You have experience integrating AI into the full development lifecycle, from spec-driven planning and automated log analysis to CI/CD validation.