Datacurve
Datacurve
Backend Engineer
Full-time
On-site
$165k - $215k
About this role

Join us in building a gamified developer platform that’s reimagining how software engineers learn, grow, and compete. Our platform empowers tens of thousands of developers to participate in cutting-edge coding challenges, all while pushing the boundaries of what’s possible with large language models. As a Backend Engineer, you'll play a key role in shaping the core infrastructure that supports these experiences, working on a fast-moving team dedicated to delivering real-time, high-performance systems at scale.

In this role, you'll lead backend architecture and system design, ensuring our infrastructure can support the complexity and growth of real-time competitive environments. You’ll collaborate closely with frontend engineers and product managers to craft seamless user experiences, while driving backend engineering excellence across performance, observability, reliability, and scalability. If you’re excited by the intersection of gamification, developer tooling, and cutting-edge AI, we’d love to hear from you.

designing, building, and maintaining scalable backend systems and APIs
Salary
$165k - $215k
Equity
$63K–$100K/year equivalent
Visa sponsorship not available
Unable to provide visa sponsorship at this time.
On-site work policy
- In-person in SF - High ownership, early-stage builder mindset. - 10–11 hour days expected and Sunday work (remote) is common. - Candidates should be intrinsically motivated by the product, not just comp. - Avoid candidates who want to delegate or abstract away hands-on work.
Full-time position
Location
San Francisco, CA
Tech stack
Go (core backend language), AWS (cloud infrastructure), Terraform (infrastructure as code), PostgreSQL or SQL databases, Secure code execution, System design principles, API development (REST), CI/CD pipelines, Observability tools (logging/monitoring), Agentic/AI data pipelines
About Datacurve

Abundant post-training data is one of the biggest bottlenecks to achieve autonomous SWEs and to break through plateaus in coding LLMs’ capabilities. We built a gamified coding platform attracts skilled engineers from all over the world to produce high quality data.


Our goal is to enable next generation coding LLMs from a foundation model level through quality data abundance. We will create a future where coding LLMs aren’t just productivity-boost devtools but capable to give anyone from any industry production power to build and engineer solutions.

Team size

11 people

Founded

2024

LinkedIn

Visit

Total funding

17.5M

Company locations

San Francisco, CA
Datacurve company image - 1
The team
About the team

Datacurve is founded by Waterloo CS dropouts. Serena (CEO) interned at Cohere with the CTO and pioneered on early coding & synthetic data at Cohere. Charley (CTO) interned at Google before dropping out. The best way to describe what it’s like to work here is a long hackathon with friends. We are extremely ambitious. We don’t care, we will just do it. Join us.

Backed by Y Combinator, Afore Capital, Pioneer Fund, Amjad Masad (Replit), Oriol Vinyals (Gemini Technical Lead), Cohere, and Vercel.

Tech stack
Go (core backend language), AWS (cloud infrastructure), Terraform (infrastructure as code), PostgreSQL or SQL databases, Secure code execution, System design principles, API development (REST), CI/CD pipelines, Observability tools (logging/monitoring), Agentic/AI data pipelines