7 часов назад
Validator Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Validator Engineer (Web3): Operating and automating Ritual’s AI-focused blockchain validators across bare-metal and cloud environments with an accent on uptime, upgrade orchestration, and execution and consensus client performance. Focus on deploying high-availability PoS infrastructure, debugging Go and Rust client code, hardening Linux systems, and supporting external validator operators.
Location: Fully remote and/or hybrid, at the candidate’s discretion
Company
is building a sovereign execution layer for AI and a blockchain designed for AI-native applications across crypto and artificial intelligence.
What you will do
- Build and automate bare-metal and cloud deployments for validators using the existing simulation framework.
- Orchestrate client upgrades, parameter changes, and hard forks across staging and mainnet without downtime.
- Profile and patch critical paths in execution and consensus clients to improve performance.
- Maintain validator uptime, snapshots, synchronization performance, and operational reliability.
- Write runbooks and documentation while supporting validator operators through Discord.
Requirements
- 4+ years of experience operating high-availability distributed systems, including direct experience running PoS validators on EVM-based chains.
- Proficiency in Go and Rust, with the ability to read, debug, and extend Execution Layer and Consensus Layer client code.
- Strong understanding of fork choice, evidence handling, slashing conditions, and state sync.
- Expertise with Kubernetes, Helm, Terraform, and CI/CD workflows, including container builds and canary deployments.
- Advanced Linux knowledge, deep networking expertise, and a strong focus on system hardening and security.
- Experience using logs, metrics, and traces for operational decision-making.
Nice to have
- Experience supporting external validator operators, maintaining snapshots, and answering integration questions during network launches.
- Upstream contributions to execution and consensus clients.
- Experience orchestrating GPU workloads or other compute-intensive pipelines.
- Familiarity with deploying and tuning open-source AI models.
- Experience working with infrastructure partners, custodians, or auditors in high-uptime environments.
Culture & Benefits
- Work with engineers, researchers, and operators building AI infrastructure.
- Competitive compensation with an annual discretionary bonus and optimized tax structure.
- Comprehensive benefits, including full coverage of healthcare premiums.
- Aggressive company 401(k) match.
- Fully remote and/or hybrid work options, plus virtual and in-person events.
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