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Senior Infrastructure & DevOps Engineer - AI Trading Agents
United States
Full Remote
AI Summary
Lead deployment, scaling, and security of a distributed AI trading agent fleet. Manage hybrid cloud infrastructure, automate user provisioning, and ensure high availability. Requires expertise in Railway, AWS, and Tailscale.
Key Highlights
Architect and scale AI trading agent fleet
Manage hybrid cloud infrastructure (Railway & AWS)
Automate user provisioning with CI/CD pipelines
Ensure high availability and incident response
Key Responsibilities
Architect, provision, and scale AI trading agent fleet
Establish, manage, and harden private overlay networks using Tailscale
Design and construct automated user provisioning pipeline
Define, build, and maintain monitoring, alerting, and incident response frameworks
Oversee system health and participate in real-incident response
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Technical Skills Required
Benefits & Perks
Highly competitive compensation ($100K - $130K)
Fully remote work (EST timezone)
Modern tooling and development culture
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Nice to Have
Experience deploying LLM or autonomous AI agent fleets
Exposure to quantitative trading systems or high-frequency execution runtimes
Job Description
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.
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