Software Developer, Ops Platform and Fraud Investigations

As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood’s offerings.

This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do
You will define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines
You will build tools that process large datasets and generate insights to support fraud investigation and decision-making
You will work with data scientists and machine learning engineers to implement systems that automate manual review processes
You will design and develop AI-based applications that improve the speed and accuracy of operational tasks
You will contribute to system improvements that increase development velocity and reduce time required to launch new capabilities

What you bring
You have experience designing and scaling distributed systems with a focus on reliability and performance
You have experience building and operating applications that use large language models or similar AI systems in production environments
You understand how to structure systems that manage model behavior and ensure consistent, reliable outputs
You have experience working with large-scale data pipelines and extracting meaningful insights from complex datasets
You can translate business processes into technical solutions with clear milestones and measurable outcomes