Backend Engineer- Gamified AI Training Platform

Qualifications

• The ideal person is a true builder: someone who’s worked in fast-paced environments, knows how to ship products end-to-end, and thrives on ownership
• 3–6 years of backend or infrastructure engineering experience
• Strong product intuition and a proactive mindset
• Comfortable iterating rapidly based on user feedback
• Experience designing backend systems using Go (or similar languages)
• Worked with secure code execution environments and sandboxing
• Designed and scaled high-volume data pipelines
• Solid understanding of distributed systems, asynchronous processing, and event-driven architecture
• Skilled in relational database schema design and SQL performance optimization
• Familiarity with observability/monitoring tools (e.g., Prometheus, Grafana)
• Experience with Kubernetes and container orchestration
• Proficient in IaC tools like Terraform and managing CI/CD pipelines
• Deep understanding of cloud infrastructure, particularly AWS
• Experience designing RESTful APIs and backend services
• Excellent collaboration and proactive communication skills
• Have visible personal initiative (GitHub, side projects, personal websites)
• Have experience at early-stage startups (Series A–B), especially in gamification or dev-focused platforms
• Have 1–3 years of big tech or finance experience followed by startup work
• Bonus: Strong academic background (not required)
• You’re too senior and want to manage rather than build
• You’ve never demonstrated initiative outside of day jobs
• You struggle with ownership or rapid iteration cycles
• Cloud: AWS
• Infra: Terraform, Kubernetes, SQL

Responsibilities

• Build secure sandboxed systems to execute and evaluate user-submitted code
• Create agentic environments and AI-assisted feedback mechanisms
• Design and maintain payments/rewards infrastructure for contributor incentives
• Own AWS-based cloud infrastructure and backend deployments
• Develop performant, scalable backend systems in Go
• Collaborate closely with product/design on user-facing features
• Implement observability, monitoring, and deployment tooling
• Monitoring: Prometheus, Grafana

Full Description

Backend Engineer – Gamified AI Training Platform

Location: San Francisco CA (On-site, 5 days/week)

Relocation Assistance: Yes

Job Summary

The biggest bottleneck in developing autonomous software engineers—and pushing coding LLMs past their current limitations—is access to abundant, high-quality post-training data.

This company solves that by running a gamified coding platform where top engineers from around the world generate elite data through real, skill-based challenges.

You’ll join a small product-focused team (4 engineers) building the core system. The ideal person is a true builder: someone who’s worked in fast-paced environments, knows how to ship products end-to-end, and thrives on ownership.

Qualifications

• 3–6 years of backend or infrastructure engineering experience

• Strong product intuition and a proactive mindset

• Comfortable iterating rapidly based on user feedback

• Experience designing backend systems using Go (or similar languages)

• Worked with secure code execution environments and sandboxing

• Designed and scaled high-volume data pipelines

• Solid understanding of distributed systems, asynchronous processing, and event-driven architecture

• Skilled in relational database schema design and SQL performance optimization

• Familiarity with observability/monitoring tools (e.g., Prometheus, Grafana)

• Experience with Kubernetes and container orchestration

• Proficient in IaC tools like Terraform and managing CI/CD pipelines

• Deep understanding of cloud infrastructure, particularly AWS

• Experience designing RESTful APIs and backend services

• Excellent collaboration and proactive communication skills

Strong preference for candidates who:

• Have visible personal initiative (GitHub, side projects, personal websites)

• Have experience at early-stage startups (Series A–B), especially in gamification or dev-focused platforms

• Have 1–3 years of big tech or finance experience followed by startup work

• Bonus: Strong academic background (not required)

Not a fit if:

• You’re too senior and want to manage rather than build

• You’ve never demonstrated initiative outside of day jobs

• You struggle with ownership or rapid iteration cycles

What You’ll Do

• Build secure sandboxed systems to execute and evaluate user-submitted code

• Create agentic environments and AI-assisted feedback mechanisms

• Design and maintain payments/rewards infrastructure for contributor incentives

• Own AWS-based cloud infrastructure and backend deployments

• Develop performant, scalable backend systems in Go

• Collaborate closely with product/design on user-facing features

• Implement observability, monitoring, and deployment tooling

Tech Stack

• Language: Go

• Cloud: AWS

• Infra: Terraform, Kubernetes, SQL

• Monitoring: Prometheus, Grafana

• CI/CD: Custom pipelines, GitHub Actions

Why this role is exciting

• You’ll be one of four engineers directly shaping the product

• High ownership, zero bureaucracy—your work hits production fast

• Work at the frontier of gamified data collection and AI coding model training

• Small, elite team backed by $50M in recent funding

• Build something novel, challenging, and directly impactful to the future of LLMs