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Software Engineer, Operations Technology & Automation (Fullstack)

Triumph - Mountain View, CA, USA - In-office - posted 2026-10-09

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Triumph is a high-growth consumer platform in gaming, finance, and social experiencing 16x year-over-year growth. This role is on a five-person engineering team building the software infrastructure behind Triumph's physical card business. You will work full stack across Go backend, React frontend, and React Native mobile apps. The team owns the entire operational technology stack: the vendor portal through which suppliers sell cards, the inventory tracking dashboard, computer vision systems for card identification, and warehouse tools for auditing and fulfillment. Key responsibilities include: - Building and scaling logistics tooling: vendor intake, validation, fulfillment, and third-party logistics integrations - Automating manual operations processes in collaboration with mechanical engineering to increase shipping capacity - Extending the computer vision system to identify cards from photographs, expanding beyond current trading card games - Building event and experiential tools (e.g., iPad pack rip experiences) and shaping future product directions - Owning and improving the internal dashboard and internal tooling as the team scales - Working across the full stack, including iOS apps the team has built This team sits closest to the physical card business of any engineering team at Triumph. Problems flagged by operations in the morning often have fixes deployed the same afternoon. You will have direct visibility into how your code impacts the business and can walk to the operations floor to see your tools in use. The role is currently located in Mountain View with a likely move to Fremont, CA in the near future. The team gathers in person five days per week. Requirements: - 1–5 years of full stack web development experience - Comfort with ambiguity and ownership; ability to shape loosely defined projects - Fluency with AI as a tool (not a substitute for understanding); aggressive use of AI with ability to explain every line of shipped code - Willingness to work on site most days where operations actually happen

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