Description
We’re building a gamified developer platform empowering tens of thousands of coders to compete in exciting software engineering challenges – all while pushing the frontier of LLMs!
As a Backend 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
Lead technical discussions, guide architectural decisions, and identify opportunities for improvement across backend systems
Architect robust infrastructure to efficiently handle high volumes of user interactions, data processing, and real-time competition data
Collaborate closely with frontend engineers and product managers to deliver seamless user experiences
Optimize backend performance, reliability, and scalability to support rapid growth and evolving product requirements
Establish backend engineering best practices, including code quality, testing, observability, and documentation
What You Have
3+ years of experience designing, building, and maintaining scalable backend systems and APIs
Solid understanding of distributed systems, asynchronous processing, and event-driven architectures
Experience designing APIs and backend services using Go
Familiarity with cloud infrastructure and services on AWS
Proficiency with IaaC tools (e.g., Terraform) and CI/CD pipelines
Expertise designing relational database schemas, optimizing SQL queries, and managing database performance and integrity
Excellent collaboration and proactive communication skills
Nice to Haves
Experience with Kubernetes and orchestration of containerized applications
Knowledge of observability and monitoring tools (e.g., Prometheus, Grafana)
Experience designing and scaling data pipelines to handle large volumes of data efficiently
Worked with secure code execution environments and sandboxing techniques
Interest or experience in gamification 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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