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53 минуты назад

Senior Backend Engineer (AI)

210 000 - 265 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (AI) (Python/Postgres/Kubernetes): Building and scaling production data ingestion systems that transform complex manufacturer data into reliable, production-ready datasets with an accent on schema mapping, validation, cloud infrastructure, and data quality. Focus on designing distributed backend services, solving inconsistent enterprise-system integrations, and establishing monitoring, lineage, and alerting for dependable downstream data.

Location: Hybrid in San Francisco, CA or New York, NY

Salary: $210,000–$265,000 base salary plus equity

Company

hirify.global develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify and resolve quality issues using product quality and post-market data.

What you will do

  • Own the technical architecture for data ingestion pipelines, including schema mapping, validation, transformation, and orchestration.
  • Build and operate backend services and cloud infrastructure using Python, Postgres, and Kubernetes.
  • Integrate warranty, telematics, ERP, service, field, and aftermarket data from heterogeneous enterprise systems.
  • Establish data quality, lineage, monitoring, alerting, and reliability standards.
  • Partner with Engineering, Product, and customer-facing teams on the technical vision and roadmap for data onboarding.
  • Improve engineering standards through design reviews, code reviews, technical direction, and mentorship.

Requirements

  • 5+ years of backend software engineering experience with deep, recent Python experience.
  • Experience designing, deploying, and operating distributed production services with Kubernetes and containerized workloads.
  • Strong Postgres and relational data modeling skills, including performance, migrations, and schema design under production load.
  • Experience solving data integration problems involving heterogeneous sources, inconsistent schemas, and unstructured inputs.
  • Experience with technical mentorship, system design, and making pragmatic technology decisions in ambiguous environments.
  • Ability to balance rapid MVP delivery with production-grade reliability.

Culture & Benefits

  • Work with AI technology applied to manufacturing quality intelligence.
  • Collaborative, feedback-driven environment with direct communication and shared ownership.
  • High-agency culture focused on action, clarity, accountability, and sustainable excellence.
  • Respect for time off and personal boundaries while acknowledging occasional intense work on difficult problems.
  • Generous time off, competitive benefits, equity, and a lunch stipend.

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