MLabs
DevOps / Infrastructure Engineer
United States · Full-time
No sponsorship$100k-$130kDetected 23 days ago
Node.jsAWSDockerCI/CDDevOpsSite Reliability EngineeringNLPLLMsIncident ResponseNetwork Engineering
About the role
- Operating non-stop, these isolated processes execute high-frequency, complex financial workflows natively on blockchain infrastructure, dedicated exclusively to individual user portfolios.
- Modern Infrastructure & CI/CD: Mastery of Docker containerization, comprehensive CI/CD deployment pipelines, and modern Infrastructure-as-Code (IaC) paradigms.
- High-Availability / Financial SRE Background: 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.
Responsibilities
- Secure Network Engineering: Establish, manage, and continuously harden private overlay networks using Tailscale in production, linking disparate user agents securely with core Model Context Protocol (MCP) servers and the underlying live trading runtimes.
- Automated User Provisioning: Design and construct an end-to-end, zero-touch deployment pipeline utilizing advanced infrastructure-as-code and CI/CD best practices, enabling seamless, single-click automated provisioning of containers, secrets management, and environmental configurations for new users.
- Operational Resilience & SRE: Define, build, and maintain comprehensive monitoring, telemetry, alerting, and automated incident response frameworks to guarantee graceful state retention, preserving live in-flight transaction states across sudden host restarts, scheduled key rotations, or regional cloud outages.
- Blockchain & Onchain Context: Technical familiarity with blockchain mechanics, smart contract interactions, or web3 infrastructure paradigms to support decentralized application layers.
- Establish, manage, and continuously harden private overlay networks using Tailscale in production, linking disparate user agents securely with core Model Context Protocol (MCP) servers and the underlying live trading runtimes.
- Design and construct an end-to-end, zero-touch deployment pipeline utilizing advanced infrastructure-as-code and CI/CD best practices, enabling seamless, single-click automated provisioning of containers, secrets management, and environmental configurations for new users.
Nice to have
- 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.
- The opportunity to shape the architectural foundation of a cutting-edge technical ecosystem intersecting Artificial Intelligence and decentralized financial infrastructure.
- Access to top-tier modern tooling, modern infrastructure frameworks, and a highly streamlined, zero-red-tape development culture.
- If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.
- We genuinely appreciate your interest and wish you the best in your job search.
- We ensure no discrimination, accessible job adverts, and providing information in accessible formats.
- Our goal is to foster a diverse, inclusive workplace with equal opportunities for all.
Compensation
- $100K - $130K We are hiring on behalf of our client who is seeking an exceptional, production-proven Infrastructure & DevOps Engineer to take absolute ownership of the deployment, secure networking, architectural lifecycle, and overall reliability of this distributed agent fleet from day one.
- The client is engineering a sophisticated infrastructure designed to launch a highly distributed fleet of managed, single-tenant personal artificial intelligence (AI) trading agents.
- Operating non-stop, these isolated processes execute high-frequency, complex financial workflows natively on blockchain infrastructure, dedicated exclusively to individual user portfolios.
- Fleet Orchestration & Scaling: Architect, provision, and scale the core user agent fleet across a hybrid Railway and AWS ecosystem, ensuring each user retains an isolated, secure, and predictable containerized process with optimized cost tracking and precise lifecycle hooks.
- Secure Network Engineering: Establish, manage, and continuously harden private overlay networks using Tailscale in production, linking disparate user agents securely with core Model Context Protocol (MCP) servers and the underlying live trading runtimes.
- Automated User Provisioning: Design and construct an end-to-end, zero-touch deployment pipeline utilizing advanced infrastructure-as-code and CI/CD best practices, enabling seamless, single-click automated provisioning of containers, secrets management, and environmental configurations for new users.
Benefits
- Oversee system health and participate in direct real-incident response and on-call rotations to maintain strict operational continuity for the live global fleet.
Company info
- At MLabs, we are committed to offer equal opportunities to all candidates.
- If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
- Your data may be shared only with clients and trusted partners where necessary for recruitment purposes.
This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.