Senior Backend Platform Engineer

Beacon Hill; Milwaukee (WI); On-site; USD 120,000 - 190,000; Full time

Job summary

Beacon Hill is seeking a senior backend developer to join a growing engineering team focused on intelligent data platforms. You will own architectures from design through production, building cloud‑native systems that process large datasets and documents.

You will work with Python, modern AI workflows, and cloud services to deliver production‑grade solutions and mentor teammates in a collaborative environment.

Qualifications

• 5+ years of experience building backend applications and data‑intensive platforms.
• Strong Python development experience with API design and testing practices.
• Solid SQL and database design across relational and NoSQL environments.
• Experience with AWS or similar cloud ecosystems and serverless architectures.
• Background in event‑driven, microservices, or large‑scale data processing systems.

Responsibilities

• Build scalable backend platforms and distributed services for high data volumes.
• Develop reliable APIs, pipelines, and event‑driven systems for critical apps.
• Design architectures prioritizing performance, scalability, and maintainability.
• Lead AI workflows leveraging LLMs and retrieval technologies in production.
• Collaborate with stakeholders and mentor teammates on best practices.

Skills

Python development

SQL databases

AWS

Event-driven architectures

LLMs integration

Distributed systems

API design

Testing

Tools

FastAPI

NestJS

GraphQL

OpenSearch

PostgreSQL

DynamoDB

Athena

S3

GitHub Actions

CI/CD

Job description

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.

Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.

California residents:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Benefits Information

Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.

We look forward to working with you.

Beacon Hill. Employing the Future