Java Architect

NLB Services

Dallas, TX, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Applications Architecture Microsoft Azure Databases Continuous Integration Relational Databases DevOps Disaster Recovery Distributed Systems Github

+31 more

Identity and Access Management Enterprise Messaging Systems NoSQL OAuth OpenShift Performance Tuning Openid Connect Cloud Services JSON Web Token Software Engineering Google Cloud Spring Cloud Retrieval-Augmented Generation Large Language Models Prompt Engineering Spring-boot Software Security Caching Generative AI Event Driven Architecture AI Platforms Gitlab-ci Kubernetes Apache Kafka Api Gateway Restful APIs Terraform Serverless Computing Docker Jenkins Microservices

Job description

This is a hybrid role requiring 3 days onsite per week in Dallas, TX. A face-to-face interview with the client is required.

Requirements

10+ years of experience in software engineering, application architecture, or solution architecture.
5+ years of experience designing enterprise-scale solutions.
Strong hands-on experience with Java, Spring Boot, Spring Cloud, REST APIs, and microservices.
Experience with distributed systems, event-driven architecture, Kafka, messaging platforms, and API gateways.
Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
Experience with cloud services involving compute, storage, networking, databases, serverless technologies, security, and monitoring.
Experience with Docker, Kubernetes, OpenShift, and container orchestration.
Knowledge of relational databases, NoSQL databases, caching technologies, and data integration patterns.
Experience designing secure applications using OAuth 2.0, OpenID Connect, JWT, encryption, identity management, and role-based access controls.
Experience with CI/CD tools and DevOps practices using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Terraform, or similar technologies.
Understanding of generative AI, large language models, AI agents, prompt engineering, embeddings, vector databases, and retrieval-augmented generation.
Experience integrating AI services through platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, or Semantic Kernel.
Strong understanding of system scalability, performance optimization, resiliency, observability, and disaster recovery.
Excellent communication, stakeholder management, documentation, and technical leadership skills.