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Staff Backend Engineer, AI Platform

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full-time

Posted on:

Location Type: Remote

Location: North Carolina • United States

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Job Level

Lead

Tech Stack

AWSCloudDistributed SystemsGoogle Cloud PlatformPython

About the role

  • Design and evolve the backend architecture that powers our AI-driven acquisition systems.
  • Build and maintain scalable, well-designed APIs (FastAPI/Python) serving internal tools and external partners.
  • Ensure systems are modular, extensible, and built for long-term durability.
  • Own cloud architecture in GCP/AWS/Digital Ocean (multi-environment, production-grade systems).
  • Lead Infrastructure-as-Code implementation and environment standardization.
  • Improve system resilience, monitoring, alerting, and failure recovery patterns.
  • Drive redundancy and risk mitigation across critical services.
  • Support orchestration between AI agents, business logic, and partner systems.
  • Build backend services that enable experimentation, optimization, and real-time decisioning.
  • Collaborate with Data and Product teams to productionize intelligent workflows.
  • Design clean abstraction layers over partner APIs.
  • Support real-time booking, routing, and multi-channel engagement.
  • Build systems that scale as partner complexity grows.
  • Set architectural standards and raise the bar for backend engineering.
  • Mentor engineers and influence long-term technical direction.
  • Identify and eliminate system bottlenecks before they constrain growth.

Requirements

  • 7+ years of backend engineering experience, including experience at senior or staff level.
  • Deep expertise in Python backend development.
  • Experience with FastAPI (or similar modern Python frameworks).
  • Demonstrated experience designing and building APIs at scale.
  • Significant experience with cloud infrastructure (ideally AWS or GCP).
  • Hands-on experience with Infrastructure as Code.
  • Experience building and operating distributed systems in production.
  • Exposure to data engineering concepts.
  • Strong understanding of system performance, reliability, and scalability tradeoffs.
  • Experience building platforms that support AI-driven decisioning or customer acquisition.
  • Strong product intuition and ability to translate ambiguous goals into scalable systems.
  • An “AI-first” mindset - you instinctively look for automation, intelligence, and leverage in system design.
Benefits
  • health, medical, and vision insurance
  • 401(k) match
  • short-term disability coverage
  • cell phone reimbursement
  • flexible time off
  • bi-annual $500 Relax & Recharge bonus
  • learning and development stipend
  • Charity Match program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIAPIsInfrastructure as Codecloud infrastructureGCPAWSDigital Oceandistributed systemsdata engineering
Soft Skills
leadershipmentoringcollaborationproduct intuitionproblem-solvingcommunicationrisk mitigationsystem designscalabilityautomation