Senior DevOps / Infrastructure Engineer
$180,000–$250,000 year
RemoteUnited States
Job Summary
Operate the Monad node fleet, managing health, sync, upgrades, and recovery across validators, full nodes, archive/historical, and indexer nodes on mainnet and testnet. Own infrastructure-as-code using Ansible, Terraform, and Kubernetes/Flux, while building observability stacks with Prometheus, Grafana, and Loki to catch problems before they page. Automate release pipelines for safe rollouts and snapshot restoration, and design agentic operations that let AI agents safely investigate and execute routine tasks within deterministic guardrails. Harden nodes and services to reduce manual toil, codifying operational knowledge into reusable tools for the team. This role is central to designing workflows for autonomous agents operating our infrastructure and model workloads within an AI-native environment.
Required Qualifications
- 5+ years in DevOps, SRE, or Infrastructure Engineering, operating production systems at scale
- strong Linux, systemd, networking, and shell fundamentals
- comfortable debugging live systems over SSH
- deep, hands-on infrastructure-as-code experience with Ansible and Terraform
- experience with observability stacks (Prometheus, Grafana, Loki, or equivalents)
- hands-on fluency with AI-assisted engineering: using coding agents and LLM tooling in daily workflow
- judgment on where AI-assisted engineering helps and where it's risky
- experience designing automation with safe guardrails
- calm, methodical incident response
- programming and scripting experience (e.g., Python, bash)
Desired Qualifications
- Experience with Kubernetes and GitOps (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
- A Bachelor of Science in Computer Science, Engineering, or a related field
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