Senior Backend Platform Engineer

Milwaukee, Wisconsin, USA Direct (Permanent)
$ 130,000 - $ 150,000 per year 10-06-2026 21:03:52 Job ID: MKE1476121AJ_1791320632

About the Role

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Summary

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, 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.

What You Bring

  • 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 NoSQL 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.

Preferred Technical Environment

Candidates who have worked with technologies such as the following will be particularly successful:
  • Languages: Python, TypeScript
  • Backend Frameworks: FastAPI, NestJS, GraphQL APIs
  • Cloud & Infrastructure: AWS, Serverless Architecture, Containers, Infrastructure as Code
  • AI & Search: Amazon Bedrock, OpenAI, Gemini, RAG, Vector Search, OpenSearch/Elasticsearch
  • Data Platforms: PostgreSQL, DynamoDB, Athena, S3
  • Development Practices: GitHub Actions, CI/CD, Automated Testing, Observability & Monitoring
  • Frontend Exposure: Angular or modern web application frameworks

Nice to Have

  • Experience with retrieval-augmented generation (RAG), embeddings, model evaluation, or AI observability tools.
  • Production experience with machine learning, NLP, search relevance, or entity resolution.
  • Exposure to analytics and data modeling tools such as dbt or modern reporting platforms.
  • Experience working in regulated environments involving healthcare, legal, financial, or sensitive data.
  • Familiarity with AI-assisted software development tools and coding agents.
  • Knowledge of legal technology, healthcare data, or enterprise information platforms.

Why This Role Stands Out

  • Direct ownership of production AI and intelligent data platforms.
  • Opportunity to work with cutting-edge LLM technologies at scale.
  • High visibility across engineering, product, and leadership teams.
  • A chance to influence architecture, platform strategy, and technical direction.
  • Meaningful technical challenges involving AI, cloud architecture, search, data engineering, and automation.

MKE1476121AJ_1791320632

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Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

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