About Kgen

KGeN is the world's largest verified human network — 61.9M users across 60+ countries, generating $83.5M in ARR. The network sources diverse, multimodal data to train Physical AI and LLMs. $KGEN ties that growing revenue directly to on-chain supply reduction — automatic and verifiable by anyone.

KGeN is backed by Accel, Prosus Ventures, Jump Capital, Aptos Foundation, and Polygon.

Role Overview

We're looking for a Senior Full Stack Engineer to design, build, and scale systems that handle high volume and complexity. You'll work across the stack — from Go-based backend services to modern React front ends — and play a key role in architecting reliable, scalable systems on AWS.

This role suits someone who enjoys both deep system design discussions and shipping polished, user-facing features.

What You Will Work On

• Design and build scalable backend services in Go, with a focus on performance, reliability, and maintainability
• Develop responsive, high-quality front-end applications using React and Next.js
• Contribute to system design and architecture decisions for distributed, high-throughput systems
• Build and integrate cloud-native services on AWS (S3, SQS, and related services)
• Collaborate with product, design, and other engineers to ship features end-to-end
• Write clean, well-tested code and participate in code reviews
• Identify and resolve performance bottlenecks and scalability challenges

You Must Have

• 5+ years of professional software development experience
• Strong system design knowledge — able to reason about trade-offs in distributed, scalable architectures.
• Hands-on experience with Go (Golang) in production
• Proven full-stack development capability
• Solid experience with React.js and Next.js
• Working knowledge of AWS services, particularly S3 and SQS
• Demonstrated experience building and operating scalable systems in production
• Strong problem-solving skills and the ability to work independently

Nice to have

• Experience with message queues, event-driven architectures, and async processing
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and observability tooling
• Exposure to high-throughput data ingestion or streaming systems

How we work

• Fast-paced startup.
• High ownership, pragmatic decisions, and a strong bias toward shipping.
• You'll have real scope from day one.