53 минуты назад
Senior Backend Engineer (AI)
210 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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