JobHabor

Infrastructure & DevOps Engineer

MLabs
Location
EST
Workplace
Remote
Employment
Full Time
Salary
USD 100,000–130,000/yr
Apply on the employer’s site

Posted 3mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Architect, provision, and scale the core user agent fleet
  • Establish, manage, and continuously harden private overlay networks
  • Design and construct an end-to-end, zero-touch deployment pipeline
  • Define, build, and maintain comprehensive monitoring, telemetry, alerting, and automated incident response frameworks
  • Oversee system health and participate in direct real-incident response and on-call rotations

Requirements

  • Proven professional experience deploying, monitoring, and scaling complex architectures in production utilizing Railway, or equivalent containerized platform-as-a-service frameworks
  • In-depth technical mastery of Amazon Web Services (AWS), with practical expertise spanning Virtual Private Clouds (VPC), Identity & Access Management (IAM), Secrets Manager, and elastic scaling frameworks (ECS / AWS Lambda)
  • Demonstrated experience implementing Tailscale within a high-security production environment, with distinct competence configuring Access Control Lists (ACLs), complex subnet routing, and ephemeral node lifecycles
  • Mastery of Docker containerization, comprehensive CI/CD deployment pipelines, and modern Infrastructure-as-Code (IaC) paradigms
  • Technical familiarity with blockchain mechanics, smart contract interactions, or web3 infrastructure paradigms
  • A proven professional history managing environments where system stability impacts critical financial outcomes, paired with total comfort managing on-call duties and live incident response

Preferred

  • Direct experience deploying, managing, and monitoring Large Language Model (LLM) or autonomous AI agent fleets at multi-tenant scale
  • Prior exposure to quantitative trading systems, high-frequency execution runtimes, or deep integrations with platforms such as Hyperliquid

Skills

  • Railway
  • AWS
  • VPC
  • IAM
  • Secrets Manager
  • ECS
  • Lambda
  • Tailscale
  • Docker
  • CI/CD
  • IaC
  • LLM

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