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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team of bold thinkers and sharp problem-solvers who are wired to make an impact. The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services. The team works closely with product, data science, and operations partners to deliver reliable systems that improve decision-making and efficiency! 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 What we offer Challenging, high-impact work to grow your career Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more. Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more! Exceptional office experience with catered meals, events, and comfortable workspaces. Monthly commuter stipend to help offset in-office commuting costs Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation. Applicant Accommodation Form AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed. Base Pay Range: Toronto, ON $136,000 — $160,000 CAD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
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The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.