Java Architect - Cloud & AI

United Software Group, Inc.

Dallas, TX, United States

10 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Code Review Databases Continuous Integration Software Design Patterns DevOps Distributed Systems

+30 more

Amazon DynamoDB Java Platform Enterprise Edition (J2EE) Fault Tolerance PostgreSQL Machine Learning MongoDB NoSQL Software Architecture Recommender Systems SQL Databases Data Streaming Systems Integration Web Services Enterprise Software Applications Cloud Platform System Spring Cloud Large Language Models Spring-boot Software Security Cloudformation Event Driven Architecture Containerization Kubernetes Infrastructure Automation Frameworks Apache Kafka Machine Learning Operations Api Gateway Terraform Docker Microservices

Job description

Architect, design, and lead development of enterprise Java applications and microservices
Define technical architecture and design patterns for scalable, high-availability, cloud-native systems
Lead integration of AI/ML capabilities (LLMs, GenAI, recommendation engines, or intelligent automation) into existing platforms
Provide technical leadership and mentorship to development teams
Collaborate with product, data science, and DevOps teams to translate business requirements into technical solutions
Drive cloud migration and modernization initiatives
Establish coding standards, architecture governance, and best practices
Conduct architecture/design reviews and code reviews
Evaluate and recommend emerging technologies, frameworks, and tools
Ensure application security, performance, and scalability across the stack
Troubleshoot complex production issues and guide root cause analysis

Requirements

We are seeking an experienced Java Architect with strong expertise in cloud-native architecture and hands-on exposure to AI/ML-driven solutions to design and lead enterprise-grade applications. This role requires a blend of deep Java/backend architecture skills, cloud platform expertise, and the ability to integrate AI capabilities into scalable, production-grade systems., * Java: Expert-level Java (8/11/17), Spring Boot, Spring Cloud, microservices architecture

Cloud: Strong hands-on experience with AWS - architecture, deployment, and management of cloud-native applications
AI/ML Integration: Experience integrating AI/ML models, LLMs, or GenAI services (e.g., AWS Bedrock, Azure OpenAI, or similar) into enterprise applications
APIs & Integration: REST/SOAP API design, API gateways, event-driven architecture
Databases: SQL/NoSQL (PostgreSQL, MongoDB, DynamoDB, or similar)
DevOps: CI/CD pipelines, Docker, Kubernetes, Infrastructure as Code (Terraform/CloudFormation)
Messaging/Streaming: Kafka or similar event-driven platforms
Strong understanding of distributed systems, scalability, and fault-tolerant design
Experience leading architecture decisions across cross-functional teams, * Cloud certification (AWS Solutions Architect, Azure Architect, or equivalent)
Prior experience architecting AI-enabled enterprise platforms
Experience in regulated industries (financial services, healthcare, etc.)
Familiarity with containerization and orchestration at scale