DevOps / Infrastructure Engineer

9 hours, 57 minutes ago
Full-time
Senior
DevOps and Infrastructure
MLabs

MLabs

MLabs is a Haskell, Rust, Blockchain, and AI consultancy specializing in mission-critical software development, cross-team collaboration, and cutting-edge value delivery for fintech, blockchain, and information technology sectors.

Internet Software & Services
11-50
Founded 2018

Description

  • Architect, provision, and scale the user agent fleet across Railway and AWS.
  • Maintain isolated, secure, containerized processes for each user with cost tracking and lifecycle hooks.
  • Design, manage, and harden private overlay networks using Tailscale in production.
  • Connect user agents securely with MCP servers and live trading runtimes.
  • Build an end-to-end, zero-touch deployment pipeline for automated user provisioning.
  • Implement infrastructure-as-code and CI/CD workflows for containers, secrets management, and environment configuration.
  • Define and maintain monitoring, telemetry, alerting, and automated incident response systems.
  • Preserve in-flight transaction state across host restarts, key rotations, and regional outages.
  • Oversee system health and participate in real incident response and on-call rotations.

Requirements

  • Proven experience deploying, monitoring, and scaling production systems on Railway or equivalent container PaaS platforms such as Fly.io, Render, or Northflank.
  • In-depth AWS expertise, including VPC, IAM, Secrets Manager, and scaling frameworks such as ECS or AWS Lambda.
  • Demonstrated production experience implementing Tailscale, including ACLs, subnet routing, and ephemeral node lifecycles.
  • Strong experience with Docker, CI/CD deployment pipelines, and modern infrastructure-as-code practices.
  • Technical familiarity with blockchain mechanics, smart contract interactions, or web3 infrastructure.
  • Proven background supporting high-availability systems where stability affects financial outcomes.
  • Comfort managing on-call duties and live incident response.
  • Nice-to-have experience deploying and monitoring large-scale LLM or autonomous AI agent fleets.
  • Nice-to-have exposure to quantitative trading systems, high-frequency execution runtimes, or Hyperliquid integrations.

Benefits

  • Highly competitive compensation package with a listed range of $100K - $130K.
  • Fully remote work environment aligned to EST timezone.
  • Immediate start timeline.
  • Opportunity to shape the infrastructure foundation of an AI and decentralized finance platform.
  • Access to modern tooling and infrastructure frameworks.
  • Streamlined, low-bureaucracy development culture.
  • Commitment to equal opportunity, accessibility, and reasonable adjustments during the hiring process.

Interested in this position?

Apply directly on the company website

Apply Now

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