Senior Backend Platform Engineer

Join a growing engineering team building intelligent data platforms that transform complex documents and large-scale datasets into actionable insights. This is a hands-on senior-level opportunity for a backend developer who enjoys solving challenging architecture problems, working with modern AI technologies, and owning solutions from design through production. You'll help shape scalable cloud-native systems while influencing technical direction across high-impact products.

About the Opportunity

This organization is investing heavily in next-generation AI and data technologies to solve complex information challenges. As part of a highly collaborative engineering team, you'll work on systems that combine large-scale document processing, machine learning, search technologies, and cloud-native architecture. You'll have the opportunity to build production-grade AI solutions, work directly with business and product stakeholders, and take ownership of critical platform capabilities that drive measurable business outcomes.

What You'll Do

• Build Scalable Backend Platforms
  • Develop and enhance distributed backend services that process high volumes of structured and unstructured data.
  • Create reliable APIs, processing pipelines, and event-driven systems that support critical business applications.
  • Design solutions that prioritize performance, scalability, maintainability, and operational excellence.
• Develop AI & Intelligent Automation Solutions
  • Build production-ready AI workflows leveraging modern large language models and retrieval technologies.
  • Implement systems that transform documents, OCR output, and external data sources into accurate, actionable information.
  • Improve data quality, search relevance, classification, and information extraction capabilities.
• Drive Cloud & Data Architecture
  • Design and maintain cloud-based applications utilizing modern AWS services and serverless technologies.
  • Develop resilient systems with strong monitoring, observability, security, and automated deployment practices.
  • Optimize processing efficiency, cost, and system reliability.
• Collaborate & Influence
  • Partner with engineering,