DatacurveDatacurve

Software Engineer – Full Stack

Added 2 months ago

Description

We’re building a gamified developer platform empowering tens of thousands of coders to compete in exciting software engineering challenges that push the frontier of LLMs

As a Full Stack Engineer, you'll become part of a passionate, fast moving team dedicated to solving challenging technical problems, designing engaging gamification experiences, and shaping the foundations to support the collective effort of developers worldwide.

What You’ll Do

  • Build and maintain end-to-end features across our frontend and backend systems

  • Architect scalable, performant backend services and intuitive, responsive frontend interfaces to support real-time coding competitions and engaging interactions

  • Collaborate closely with product managers, designers, and engineers across the stack to rapidly ship impactful features

  • Lead technical discussions, guide architectural decisions, and identify opportunities for improvement across the entire stack

  • Establish engineering best practices, including code quality, testing, observability, and documentation

What You Have

  • 3+ years of experience building scalable, performant full stack applications in production environments

  • Strong proficiency in building frontends using React, TypeScript, and Tailwind CSS

  • Experience designing performance and secure APIs and backend services using Go

  • Familiarity with cloud infrastructure and services (AWS) and Docker

  • A proactive mindset, comfortable iterating quickly based on user feedback

Nice to Haves

  • Familiarity with IaaC using Terraform and CI/CD pipelines

  • Experience designing secure code execution environments and implementing sandboxing techniques

  • Interest or experience in gamification, competitive programming, or developer-focused platforms

Company

Datacurve builds and supplies mission-critical data for AI foundation models. The company delivers high-quality SFT data, reinforcement learning environments, and RLHF-ready data, plus agentic data traces, private repo taskbenches, and multimodal interfaces to train and evaluate models. It operates a gamified data-creation platform that incentivizes engineers to contribute diverse, complex datasets through a bounty system. The target customers are foundation-model labs and enterprises seeking scalable, reliable data pipelines for model development and benchmarking.

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