Infrastructure & DevOps Engineer
MLabs- Location
- EST
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 100,000–130,000/yr
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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