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# Full Stack Engineer

- **Company:** THE PHOENIX
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Software Quality, Continuous Integration, DevOps, Django Web Framework, Elasticsearch, Graph Database, Python (Programming Language), NoSQL, Role-Based Access Control, Search Technologies, Service-Oriented Architecture, Software Engineering, Systems Architecture, Systems Integration, TypeScript, ReactJS, Retrieval-Augmented Generation, Backend, Fastapi, Vue.js, Event Driven Architecture, Webpack, AngularJS, Material UI, Data Analytics, Real Time Data, Apache Kafka, Build Tools, Graphql, Front End Software Development, Restful APIs
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/2d3d16e7-a0ae-48ba-8f93-a716c3d6776e/full-stack-engineer

## About the Role

* 5+ years of full stack software engineering experience with proven leadership in enterprise-level systems.
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 * Strong expertise in backend frameworks (FastAPI, Django) and frontend frameworks (React, Vue, Angular) with modern build tools (Vite).
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 * Proficiency in Python and TypeScript, with deep understanding of data modeling (relational, NoSQL, graph databases).
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 * Extensive experience designing and consuming RESTful and GraphQL APIs within large-scale, service-oriented architectures.
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 * Practical knowledge of event-driven systems (Kafka, cloud pub/sub) and asynchronous workflows.
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 * Skilled in implementing security controls (RBAC, ABAC) and optimizing multi-tenant applications, familiar with search technologies (Elasticsearch, vector search).
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 * Deep understanding of cloud-native development on AWS, including CI/CD, observability, and automation practices.
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 * Experience integrating AI/ML features such as retrieval-augmented generation, semantic search, and AI workflow observability.

## Description

This leadership position involves architecting and building scalable full stack systems, including backend services, data models, and modern frontend interfaces that support intelligent, data-driven product experiences. The ideal candidate will be a hands-on technical leader, influencing core services and creating end-to-end applications leveraging AI and machine learning technologies for enterprise insights and operational optimization., n
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 * Design, develop, and deploy full stack applications with modular backend services, REST and GraphQL APIs, and frontend UI components, prioritizing performance, security, and scalability.
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 * Collaborate with cross-functional teams-product management, design, data science, and DevOps-to translate complex requirements into reliable, user-centric solutions.
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 * Define and optimize canonical data models, manage complex data relationships (graphs, hierarchies), and develop search/indexing solutions (Elasticsearch, vector search) supporting AI-driven search and recommendation features.
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 * Build event-driven architectures utilizing Kafka and cloud-based pub/sub systems, implementing real-time data streams and asynchronous workflows.
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 * Integrate AI/ML functionalities-including retrieval-augmented generation (RAG), semantic search, and entity resolution-enhancing workflow usability and business value.
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 * Establish frontend architectures using modern frameworks such as React, Vue.js, or Angular with a focus on performance, accessibility, and shared UI component libraries.
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 * Drive system reliability, observability, automated testing, and continuous improvement processes.
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 * Implement security measures including role-based (RBAC), attribute-based (ABAC), and multi-tenant access controls across all development layers.
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 * Mentor engineering teams on system architecture, code quality, and best practices, fostering a culture of technical excellence.
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 * Partner with DevOps and security teams to oversee cloud infrastructure (AWS), ensuring scalability, resilience, and compliance.
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