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.

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.

• 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.

• 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.

• 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.

• Partner with engineering, product, and business teams to translate requirements into effective technical solutions.
• Contribute to architectural decisions and engineering best practices.
• Mentor teammates through technical leadership and thoughtful collaboration.

• Typically 5+ years of experience building backend applications, distributed systems, or data‑intensive platforms.
• Strong Python development experience, including modern development practices, automated testing, and API design.
• Solid SQL and database design experience across relational and No
  
  SQL environments.
• Experience building solutions within AWS or similar cloud ecosystems.
• Background working with event‑driven architectures, microservices, or large‑scale data processing systems.
• Experience integrating LLMs, AI services, or machine learning capabilities into production applications.
• Familiarity with document‑processing workflows, OCR technologies, data extraction, or information management platforms.
• Strong problem‑solving skills with the ability to navigate ambiguity and make sound technical decisions.
• Excellent communication skills and a collaborative mindset.

Candidates who have worked with technologies such as the following will be particularly successful:

• Languages: Python, Type Script
• Backend Frameworks: FastAPI, NestJS, GraphQL APIs
• Cloud & Infrastructure: AWS, Serverless Architecture, Containers, Infrastructure as Code
• AI & Search: Amazon Bedrock, OpenAI, Gemini, RAG, Vector Search, Open Search/Elasticsearch
• Data Platforms: PostgreSQL, DynamoDB, Athena, S3
• Development Practices: Git Hub Actions, CI/CD, Automated Testing,…