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Category Labs is building Monad, a high-performance EVM-compatible Layer 1 blockchain with a live public mainnet. This Senior DevOps / Infrastructure Engineer role focuses on operating the globally-distributed validator and node fleet, managing infrastructure-as-code, and designing AI-assisted operations tooling that allows a small team to safely manage large-scale distributed systems. What You'll Do • Operate the Monad node fleet across mainnet and testnet, ensuring health, synchronization, upgrades, and recovery for validators, full nodes, archive nodes, and indexers with staged rollouts and incident response • Own infrastructure-as-code using Ansible for fleet configuration, Terraform + Atlantis for cloud and DNS management, and Kubernetes/Flux for GitOps-driven platform services • Build and operate observability and alerting infrastructure using Prometheus, Grafana, and Loki; create dashboards and alerts that detect issues proactively while minimizing false positives • Automate the release pipeline including node upgrades, canary rollouts, and snapshot/restore operations with guardrails to protect validators and limit blast radius • Design and build agentic operations tooling: develop AI agents, MCP servers, and runbooks-as-code that enable autonomous investigation, diagnosis, and routine operations execution with deterministic guardrails and human oversight • Codify operational knowledge into reusable automation tools accessible to the engineering team and AI agents; harden nodes and services, manage secrets, and continuously reduce manual operational toil What You Need • 5+ years of hands-on experience in DevOps, SRE, or Infrastructure Engineering operating production systems at scale • Strong Linux, systemd, networking, and shell scripting fundamentals with demonstrated ability to debug live systems over SSH • Deep, hands-on infrastructure-as-code experience with both Ansible and Terraform • Experience with observability stacks such as Prometheus, Grafana, Loki, or equivalent tools • Hands-on fluency with AI-assisted engineering including regular use of coding agents and LLM tooling in daily workflow with judgment about appropriate applications and risks • Experience designing automation with safe guardrails, calm and methodical incident response, and programming/scripting experience in Python, Bash, or similar languages Nice to Have • Experience with Kubernetes and GitOps tools (Flux or Argo) • Experience building AI agent tooling, MCP servers, or agent orchestration frameworks • Experience serving inference either locally or as a service • Previous experience with blockchain clients or node operations • Bachelor of Science in Computer Science, Engineering, or a related field Base salary $180,000–$250,000 across US locations plus equity and token incentives. Full-time benefits include private health insurance, flexible paid time off, monthly wellness reimbursement, paid parental leave. US employees receive 100% paid medical, dental, vision insurance (75% dependent coverage), HSA/FSA options, 401(k) with company match, and lunch/dinner stipend for NYC office. Non-US employees receive EOR-based benefits and country-specific packages.