Full Stack Developer - OpenClaw

About the Job

We are looking for a  Senior Software Engineer  to join our backend team. The ideal candidate is proficient in  TypeScript , understands  AWS , and possesses a deep technical curiosity regarding AI backend infrastructure—from the evolution of MCPs to modern prompt engineering.

We need someone with a deep understanding of the  OpenClaw  architecture.

You should be adept at navigating complex structural challenges, particularly regarding how systems handle memory and persistent storage. We want a candidate passionate about OpenClaw is interested in evolving its capabilities.

Role & Responsibilities

• Architect Backend Systems:  Design and maintain robust, scalable, cloud-native backend services using TypeScript.
• OpenClaw Optimization:  Dive deep into the OpenClaw framework to resolve structural bottlenecks and optimize critical components like  heartbeats .
• Memory Management:  Lead the transition of key data paths from traditional storage to  persistent memory  to drive performance gains.
• Legacy Analysis:  Apply lessons learned from the failure of  MCPs  (Master Control Programs) to ensure our current architecture avoids historical pitfalls.
• Cloud Evolution:  Leverage AWS to build and maintain infrastructure that supports high-concurrency AI workloads.
• AI Integration:  Experiment with and self-host AI tools to optimize internal development workflows and system performance.

Qualifications

We value technical curiosity and a "builder" mindset over a specific checklist of years, but ideally, you bring the following:

• Deep Backend Expertise:  Proven experience building high-performance distributed systems in a cloud environment (Node.js/TypeScript preferred).
• OpenClaw Mastery: Significant experience with OpenClaw, specifically regarding its memory management and structural architecture.
• Historical Context:  A strong understanding of the evolution of MCPs, why they failed, and how to apply those lessons to modern systems.
• Systems Optimization:  Experience optimizing low-latency components and moving data across the storage hierarchy (Storage → Persistent Memory).
• Cloud Proficiency:  Advanced knowledge of  AWS  (EC2, S3, RDS, Lambda) or a demonstrated ability to master complex cloud stacks rapidly.
• AI/LLM Curiosity:  A track record of experimenting with AI tools, such as self-hosting local models or using AI to automate system optimizations.
• Problem Solver:  A "tinkerer" spirit—someone who runs a home lab or contributes to open-source projects in their spare time.