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Full Stack Engineer with AI and CMS/AEM (W2 Only)

Encore Consulting ServicesMinneapolis, MN🇺🇸United StatesPosted 9 Aug 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to shape the future of development by integrating AI and cloud-native technologies, fostering significant career growth and skill enhancement. You'll thrive here if you're a mid-senior full-stack engineer passionate about innovation and building scalable, intelligent applications on Azure, contributing to a forward-thinking team. Apply now to leverage cutting-edge AI tools and drive impactful solutions.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Full Stack Engineer with AI and CMS/AEM

Minneapolis, MN

6+ months contract

We are seeking a highly skilled and motivated Full Stack Engineer with experience in building modern, cloud-native applications and a strong interest in Agentic AI and AI-Driven Development Lifecycle (AIDLC). This role involves designing and developing scalable, secure, high-performance web applications and microservices on Microsoft Azure, while leveraging AI-assisted and agent-based development patterns to accelerate delivery, improve quality, and enable intelligent user experiences. Candidates with data engineering or AI platform exposure will have opportunities to contribute to data-driven initiatives, intelligent automation, and performance optimization.

Core Responsibilities

  • System Ownership: Design, scale, and maintain cloud-native microservices and robust system architectures on Microsoft Azure.
  • API Excellence: Architect secure, resilient, high-performance APIs using Java, Spring Boot, Spring Reactive, and WebFlux.
  • UI Leadership: Direct front-end strategies to deliver responsive, accessible, and performant user interfaces using modern JavaScript frameworks.
  • Tech Debt & Quality: Set engineering standards, champion code reviews, and ensure DevSecOps KPIs are exceeded while actively paying down tech debt.
  • Cross-Functional Collaboration: Partner with product managers, UX designers, and enterprise architects to translate complex business needs into technical reality.
  • AIDLC Enablement: Maximize the use of the team’s AI development productivity, refactoring, and test coverage.
  • Intelligent Features: Design and integrate AI-powered workflows, automated reasoning, and intelligent agent-based features into customer-facing applications.
  • Future Proofing: Collaborate with platform teams to evaluate, benchmark, and adopt cutting-edge, emerging AI tools.
  • CI/CD & Infrastructure: Oversee automated deployment pipelines, containerization strategy, and automated testing frameworks.
  • Observability: Drive production reliability, monitoring, and proactive troubleshooting using tools like Dynatrace and Splunk.

Required Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent professional experience.
  • Leadership: Demonstrated experience leading engineering teams, running design reviews, and mentoring junior/mid-level developers.
  • Back-End Mastery: 7+ years of software development experience, including 6+ years specializing in Java/J2EE, Spring Boot, Spring Reactive, and WebFlux.
  • Front-End Expertise: 6+ years of front-end experience utilizing JavaScript, HTML, CSS, and modern frameworks (React, Angular, or Vue.js).
  • API & Integration: 5+ years building high-throughput RESTful and SOAP web services.
  • Stack Depth: Proven experience with Node.js, asynchronous programming, ORM frameworks (Hibernate/JPA), and databases (MySQL, Cassandra).
  • Cloud & DevOps: Hands-on expertise building and deploying infrastructure on Microsoft Azure (AWS is a plus).
  • Experience with any Enterprise CMS platform (AEM preferred)

Nice to Have

  • Experience with data pipelines using Apache Airflow or Azure Data Factory.
  • Healthcare or commercial software development experience.
  • Experience in application modernization or re-engineering.
  • Familiarity with AEM, SEO tools (Google Lighthouse, Search Console), and Elasticsearch.

Soft Skills

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently in a team-oriented, agile environment.
  • Passion for continuous learning and staying current with emerging technologies.

 

Skills

Microservices
MySQL
Node.js
SOAP
Spring
Spring Boot
AWS
Splunk
Agile
Airflow
Angular
Apache
Azure
CSS
Cassandra
HTML
Hibernate
Java
JavaScript
React
Vue

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