Java Cloud & AI Solutions Architect

Spectraforce

Minneapolis, MN, United States

2 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience required

0 years minimum

Working hours

Regular working hours

Job source

leoforce.us

Tech stack

Java (Programming Language) Spring Security Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Code Review Continuous Integration Hibernate (Java) Java Persistence API PostgreSQL NoSQL

+26 more

Oracle (Applications) Redis Fortify (Software) Software Engineering SONAR (Symantec) Enterprise Software Applications Spring Cloud GitHub Copilot DevOps Tools - Open-source ReactJS Large Language Models Spring-boot Generative AI Build Management AngularJS Kubernetes Infrastructure Automation Frameworks Apache Kafka Graphql Front End Software Development Restful APIs Terraform GPT Devsecops Docker Microservices

Job description

We are seeking a highly experienced Java Cloud & AI Solutions Architect with 12+ years of enterprise application development and architecture experience. This role will lead the design and delivery of scalable cloud-native solutions, modern microservices architectures, and AI-enabled applications supporting a large healthcare technology program., Architect, design, and deliver enterprise-scale applications using Java and Spring technologies. Lead development of microservices, REST APIs, GraphQL services, and event-driven solutions. Build and deploy cloud-native applications on Azure and/or AWS. Integrate Generative AI and LLM capabilities using platforms such as Azure OpenAI, OpenAI/GPT, Spring AI, and GitHub Copilot. Drive DevSecOps best practices, CI/CD automation, infrastructure as code, and security compliance. Provide technical leadership, mentor development teams, conduct design/code reviews, and manage delivery risks and dependencies.

Requirements

12+ years of Java development and solution architecture experience. Expertise in Java 17/21, Spring Boot, Spring Security, Hibernate, JPA, and microservices architecture. Strong experience with Azure and/or AWS, Kubernetes, Docker, Terraform, and CI/CD pipelines. Experience with Kafka, REST APIs, GraphQL, PostgreSQL, Oracle, Redis, and NoSQL databases. Knowledge of Generative AI/LLM integration and AI-enabled application development. Strong technical leadership and stakeholder communication skills.

Preferred Qualifications Experience with React, Angular, or other modern front-end frameworks. Healthcare industry experience. Hands-on experience with DevSecOps tools such as Sonar, Fortify, Black Duck, or FOSSA.

Years of Experience: 19.00 Years of Experience