Distributed Systems Engineer

Ritual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, ...

As a Distributed Systems Engineer at Ritual, you'll be instrumental in building and scaling our heterogeneous blockchain infrastructure. You'll work on innovative solutions for node specialization, consensus mechanisms, and distributed AI execution while ensuring the reliability and performance of our network.

Design and implement distributed systems components for Ritual's heterogeneous compute network

As a Distributed Systems Engineer at Ritual, you'll be instrumental in building and scaling our heterogeneous blockchain infrastructure. You'll work on innovative solutions for node specialization, consensus mechanisms, and distributed AI execution while ensuring the reliability and performance of our network.
Design and implement distributed systems components for Ritual's heterogeneous compute network
Develop and optimize peer-to-peer networking protocols optimized for AI model execution and blockchain consensus
Build and maintain infrastructure for node monitoring, metrics collection, and system observability
Architect solutions for efficient state management and synchronization across specialized nodes
Collaborate with the research team to implement novel distributed systems algorithms
Create robust testing frameworks for distributed system components

Deep expertise in Go and/or Rust, with a track record of building production-grade distributed systems
Strong understanding of peer-to-peer systems, networking, and messaging protocols
Proven experience operating and developing blockchain nodes, with deep knowledge of node architecture and consensus mechanisms
Experience optimizing high-throughput systems and implementing performance improvements at scale
Advanced Linux expertise, with strong command line proficiency and system administration skills
Proficiency with infrastructure orchestration tools like Kubernetes
Mastery of monitoring and observability tools such as Grafana and Prometheus
Experience designing and implementing fault-tolerant, high-performance distributed applications
Strong background in system design, with the ability to make architectural decisions that balance performance, reliability, and scalability
Excellent problem-solving skills and ability to debug complex distributed systems issues
Ability to act quickly under high pressure scenarios and context switch at a high frequency
A high level of end-to-end ownership and self-direction, with excellent communication skills
Hungry, high-energy and ability to work within and meet deadlines in a fast-paced environment
Familiarity with AI/ML systems and their distributed computing requirements
Knowledge of cryptography and secure systems design
Contributions to open-source distributed systems projects