Full Stack Developer - OpenClaw
Job Description & How to Apply Below
About the Job
We are looking for a
Senior Software Engineer
to join our backend team. The ideal candidate is proficient in
Type Script , 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
Open Claw
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 Open Claw is interested in evolving its capabilities.
- Architect Backend Systems:Design and maintain robust, scalable, cloud-native backend services using Type Script.
- Open Claw Optimization:Dive deep into the Open Claw 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.
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/Type Script preferred).
- Open Claw Mastery:
Significant experience with Open Claw, 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.
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