Validator Engineer

Ritual is a reaction to the aforementioned issues. Fundamentally, it is envisioned as an open, modular, and autonomous AI execution layer. Ritual connects a distributed network of nodes with access to compute and model…

Location: Remote
Company size: 5–20
Posted: 11mo ago
Via: Greenhouse

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Validator Engineer - Ritual

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Job Title: Validator Engineer
Job Location: Remote
Job Listing URL: https://job-boards.greenhouse.io/ritual/jobs/4815356007
Job Description: About Ritual

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, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.
About the role

As a Validator Engineer, you will own the uptime, performance, and reliability of Ritual’s validators. You’ll be responsible for managing upgrades, snapshots, and sync performance, while also serving as the primary technical point of contact for validator operators — owning deployment tooling, documentation, and support to ensure seamless participation across testnet and mainnet.

Build and automate bare-metal & cloud deployments for our validators using our existing full-fledged simulation framework

Orchestrate client upgrades, parameter changes, and hard-forks with zero downtime across staging and mainnet

Profile and patch critical paths for optimal performance of the execution and consensus clients

Produce run-books, maintain clear documentation, and actively support validator operators via Discord to keep staking participation healthy

About you

4+ years operating high-availability distributed systems, including direct experience running PoS validators on EVM-based chains

Proficient in Go and Rust, with the ability to read, debug, and extend both Execution Layer (EL) and Consensus Layer (CL) client code

Strong grasp of protocol-level concepts such as fork-choice, evidence handling, slashing conditions, and state sync

Expertise in Kubernetes/Helm, Terraform, and CI/CD workflows — automating everything from container builds to canary deployments

Advanced Linux user with deep networking knowledge and a strong focus on system hardening and security

Passionate about observability — logs, metrics, and traces are at the core of every operational decision

Nice to have

Direct experience supporting external validator operators — including writing documentation, maintaining snapshots, and answering integration questions during testnet or mainnet launches

Upstream contributions to both execution and consensus clients

Experience orchestrating GPU workloads or other compute-intensive pipelines

Familiarity with deploying, maintaining, and tuning open-source AI models

Experience interfacing with infrastructure partners, custodians, and auditors in high-uptime environment

Why join us

Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure

Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups

Top 1% of benefits across the web3 startup space

100% of premiums covered on highest quality healthcare

Aggressive company 401k match

Fully remote and/or hybrid, up to you!

Participate in virtual and in-person events

Much much more!