高级DevOps/基础设施工程师
Senior DevOps / Infrastructure Engineer
**Category Labs**（前身为 Monad Labs）是一支系统工程师和研究人员组成的团队，致力于在去中心化技术的前沿设计和构建解决方案。我们努力在现有区块链方案上实现重大改进。在获得 Paradigm 领投的 2250 万美元 A 轮融资后，我们正在扩大团队。
我们是 Monad 的开发团队，这是一个高性能、兼容 EVM 的 Layer 1 区块链，其公共主网现已上线。我们编写运行它的核心软件：一个[并行执行 EVM](https://github.com/category-labs/monad)，一个自定义状态数据库，以及一个[BFT 共识客户端](https://github.com/category-labs/monad-bft)，所有代码均在开源中开发。
### **职位描述**
我们正在寻找一名高级 DevOps / 基础设施工程师，负责运营 Monad 的基础设施，并推动其中多少操作可以由 AI 驱动。你将确保我们的全球分布式验证者、全节点和归档节点在主网和测试网上的健康运行，负责我们的基础设施即代码和可观测性，构建代理工具和保障机制，使小团队能够安全地运营大规模节点集群。随着越来越多的工程工作转向 AI，该职位在设计自主代理运行的工作流程、确定性保障机制和安全边界方面起着关键作用；你还将协助建立和运营我们自身不断增长的模型工作负载的基础设施。
### **你将负责**
- 运营 Monad 节点集群：在主网和测试网上，确保验证者、全节点、归档/历史节点和索引节点的健康、同步、升级和恢复，包括安全的分阶段部署和事件响应。
- 负责我们的基础设施即代码：使用 Ansible 管理集群配置，使用 Terraform + Atlantis 管理云和 DNS，使用 Kubernetes/Flux（GitOps）管理平台服务。
- 构建和运营可观测性和告警系统（Prometheus、Grafana、Loki）；创建仪表盘和告警，能够在问题影响到用户之前捕获问题，同时尽量减少误报。
- 自动化发布流程：节点升级、灰度发布、快照/恢复，以及限制影响范围的保障机制（例如，防止自动化变更影响验证者）。
- 设计和构建代理操作：开发 AI 代理、工具（如 MCP 服务器）和代码化的运行手册，使代理能够安全地调查、诊断和执行常规操作，具备确定性保障机制和人工监督。
- 将运维知识编码为工具和自动化流程，供整个团队使用
查看英文原文
**Category Labs** (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in series A funding, led by Paradigm, we are growing our team.
We’re the team behind Monad, a high-performance, EVM-compatible Layer 1 whose public mainnet is now live. We write the core software that runs it: a [parallel-execution EVM](https://github.com/category-labs/monad), a custom state database, and a [BFT consensus client](https://github.com/category-labs/monad-bft), all developed in the open.
### **The Role**
We're looking for a Senior DevOps / Infrastructure Engineer to operate the infrastructure behind Monad, and to push how much of that operation can be driven by AI. You'll keep our globally-distributed validator, full node, and archive fleet healthy across mainnet and testnet, own our infrastructure-as-code and observability, and build the agentic tooling and guardrails that let a small team safely operate a large fleet. As more of our engineering shifts toward AI, this role is central to designing the workflows, deterministic guardrails, and security perimeters within which autonomous agents operate our infrastructure; you'll also help stand up and operate the infrastructure behind our own growing model workloads.
### **What You'll Do**
- Operate the Monad node fleet: health, sync, upgrades, and recovery across validators, full nodes, archive/historical, and indexer nodes on mainnet and testnet, including safe, staged rollouts and incident response.
- Own our infrastructure-as-code: Ansible for fleet configuration, Terraform + Atlantis for cloud and DNS, and Kubernetes/Flux (GitOps) for platform services.
- Build and operate observability and alerting (Prometheus, Grafana, Loki); create dashboards and alerts that catch problems before they page while minimizing false positives.
- Automate the release pipeline: node upgrades, canary rollouts, snapshot/restore, and the guardrails that bound blast radius (e.g., protecting validators from automated changes).
- Design and build agentic operations: develop AI agents, tooling (e.g., MCP servers), and runbooks-as-code that let agents safely investigate, diagnose, and execute routine operations, with deterministic guardrails and human oversight.
- Codify operational knowledge into tools and automation that the whole team, and its agents, can reuse.
- Harden nodes and services, manage secrets, and continuously drive down manual toil.
### **Who You Are**
- You have 5+ years in DevOps, SRE, or Infrastructure Engineering, operating production systems at scale.
- You have strong Linux, systemd, networking, and shell fundamentals, and you're comfortable debugging live systems over SSH.
- You have deep, hands-on infrastructure-as-code experience with Ansible and Terraform.
- You have experience with observability stacks (Prometheus, Grafana, Loki, or equivalents).
- You have hands-on fluency with AI-assisted engineering: you use coding agents and LLM tooling in your daily workflow and have judgment on where it helps and where it's risky.
- You have experience designing automation with safe guardrails, and you bring calm, methodical incident response.
- You have programming and scripting experience (e.g., Python, bash).
- Experience with Kubernetes and GitOps (Flux or Argo) is a plus.
- Experience building AI agent tooling, MCP servers, or agent orchestration frameworks is a plus.
- Experience serving inference, either locally or as a service is a plus.
- Previous experience with blockchain clients or node operations is a plus.
- A Bachelor of Science in Computer Science, Engineering, or a related field is a plus.
### **Why Work with Us**
- **Challenging problems:** You’ll work on extremely challenging problems with massive impact. See our [**Blogs**](https://www.category.xyz/blogs) and [**Publications & Talks**](https://www.category.xyz/papers-talks) for a flavor of the problems we are solving in the real world.
- **Huge opportunity:** The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto.
- **The right team:** You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team).
- **Open by default:** Our core software is public on GitHub. You’ll build in the open, and your work ships where the whole ecosystem can see it.
- **Culture:** We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture.
- **Compensation:** You’ll receive a competitive salary and equity package.
- **Resources and growth:** We’re well-capitalized, with [backing](https://x.com/monad_xyz/status/1777687376136982767) from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales.
### **How We Use AI**
We’re an AI-native team, and we expect engineers to use coding agents and keep up as the tooling evolves. A few things we believe:
- AI is leverage, not a crutch. Review what it generates with the same scrutiny you’d give a teammate’s PR, and own every line you ship.
- Judgment is what matters, not how long you typed by hand. We won’t ask for “N years of [tool].” The stack turns over every few months, so what matters is that you pick up new tools fast and know where and when they apply.
### **Salary and Benefits**
The base salary range for this role is $180,000 – $250,000. This reflects the minimum and maximum range across US locations. It does not include benefits, token, or equity incentives. The final offer may vary based on factors such as relevant skills, experience, domain expertise, and work location. If you are based outside of the US, we have geographic considerations that may impact your final compensation.
Benefits for all Full-Time Employees:
- Private health insurance options
- Flexible paid time off
- Monthly wellness reimbursement
- Paid parental leave
Benefits for US employees:
- World-class benefits package with 100% paid medical, dental, and vision insurance including 75% coverage for dependents and HSA + FSA options
- 401(k) with company match
- Lunch and dinner stipend (in-office NYC)
Benefits for employees hired through an EOR (outside of the US) will be based on EOR offerings and country-specific requirements.
_Category Labs is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status._