Senior DevOps / Infrastructure Engineer

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 and Publications & 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 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.

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