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Junior Java Microservices Developer Jobs in Allentown, PA

Java Spark Engineer

Warren, NJ · On-site

$53.75 - $73.75/hr

... junior engineers; act as a technical escalation point • Partner with product, analytics, and ... Java development experience • 5+ years hands-on experience with Apache Spark in production ...

Java Developer, Team Lead We are seeking a hands-on Team Lead to guide the architecture ... and junior developers). * Relaxed yet enthusiastic and motivated attitude towards the craft ...

Senior Developer

Allentown, PA · On-site

$53.75 - $71/hr

Tey are expected to be proficient in a variety of technologies and languages (C#, Java, C++, etc., Microservices, Cloud Architecture and API's) to develop applications. The developer approaches ...

Developer Team Lead

Allentown, PA · On-site

$58.25 - $76.25/hr

They are expected to be proficient in a variety of technologies and languages (MEAN, MERN, C#, Java, C++, etc., Microservices, Cloud Architecture and API's) to develop applications. The developer ...

Developer Team Lead

Allentown, PA · On-site

$58.25 - $76.25/hr

They are expected to be proficient in a variety of technologies and languages (MEAN, MERN, C#, Java, C++, etc., Microservices, Cloud Architecture and API's) to develop applications. The developer ...

... junior developers). * Relaxed yet enthusiastic and motivated attitude towards the craft, company, and products.   Preferred skills, nice to have: * Java web application development experience (i.e.

... e.g., Java, C#, etc.). You'll be building scalable backend services and intuitive frontend ... Microservices architecture on AWS What we can offer you * Culture -We put our people first and ...

Warren, NJ Exp - 7yrs Duration: 1 Year Requirement: - Junior engineer less than 5 years, Modem ... Java extensions, etc) based on detailed design. Performs unit testing of components along with ...

Cloud Architect Lead II

Allentown, PA · On-site

$64.25 - $81.75/hr

Provide guidance, coaching, and support in the development of junior staff members. * Performs ... Knowledge of programming languages like Python, .NET, or Java. * Cloud Technology Expertise ...

Junior Java Microservices Developer information

See Allentown, PA salary details

$60.2K

$105.4K

$158.9K

How much do junior java microservices developer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior java microservices developer in Allentown, PA is $105,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $105,100.00 per year, depending on experience, location, and employer.

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Sr Full stack Java Developer

Hudson Manpower

Allentown, PA • On-site

$60 - $65/hr

Contractor

Posted 3 days ago

New


Job description

AI Full Stack Java Developer
  • Designed and developed scalable AI-powered full-stack applications using Java, Spring Boot, React/Angular, REST APIs, and cloud-native technologies.
  • Integrated Generative AI and Large Language Models (LLMs) into enterprise applications to deliver intelligent search, content generation, recommendation, summarization, and conversational capabilities.
  • Built AI-enabled backend services using Java, Spring Boot, Spring AI, LangChain/LangGraph concepts, and RESTful APIs, ensuring secure and maintainable application architecture.
  • Developed Retrieval-Augmented Generation (RAG) solutions by integrating LLMs with enterprise documents, knowledge bases, vector databases, and semantic search.
  • Implemented prompt engineering, prompt templates, response validation, context management, and AI guardrails to improve accuracy, consistency, and reliability of AI-generated responses.
  • Developed responsive and reusable frontend components using React/Angular, TypeScript, JavaScript, HTML5, and CSS3, integrating them with AI-enabled backend services.
  • Designed microservices using Spring Boot, Spring Cloud, API Gateway, and service-to-service communication for highly scalable distributed applications.
  • Developed and consumed REST and event-driven APIs, integrating third-party AI platforms, enterprise systems, databases, and external services.
  • Worked with OpenAI/Azure OpenAI or equivalent LLM platforms, embedding models, vector search, and AI APIs into production applications.
  • Implemented vector-based knowledge retrieval using technologies such as Pinecone, Azure AI Search, Elasticsearch, or PostgreSQL with pgvector.
  • Designed data persistence solutions using PostgreSQL, MySQL, MongoDB, and Redis, selecting appropriate storage mechanisms based on application requirements.
  • Applied Spring Security, OAuth 2.0, JWT, RBAC, and API security practices to protect enterprise and AI-powered applications.
  • Implemented asynchronous and event-driven processing using Kafka, RabbitMQ, or cloud messaging services for high-volume workloads.
  • Containerized applications using Docker and deployed microservices to Kubernetes and cloud platforms such as AWS, Azure, or GCP.
  • Developed CI/CD pipelines using Jenkins, Maven, Git, GitHub/GitLab, and automated deployment workflows.
  • Implemented automated unit, integration, API, and end-to-end testing using JUnit, Mockito, REST Assured, Selenium, Playwright, or Cypress.
  • Added observability through logging, metrics, distributed tracing, health checks, and application monitoring, helping identify performance and AI-service issues.
  • Optimized application performance through caching, database tuning, API optimization, asynchronous processing, and efficient LLM/API utilization.
  • Collaborated with product managers, architects, data scientists, QA engineers, and DevOps teams to transform business requirements into production-ready AI solutions.

Requirements
  • 5+ years of professional software development experience with strong expertise in Java and Spring Boot.
  • Strong hands-on experience building full-stack applications using Java, Spring Boot, REST APIs, React or Angular, JavaScript, and TypeScript.
  • Experience designing and developing microservices-based, scalable, and cloud-native applications.
  • Practical experience integrating Generative AI, Large Language Models (LLMs), and AI APIs into enterprise applications.
  • Strong understanding of RAG architecture, embeddings, vector databases, semantic search, prompt engineering, and LLM orchestration.
  • Experience working with OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar AI platforms.
  • Knowledge of Spring AI, LangChain/LangGraph, or comparable AI application frameworks is highly desirable.
  • Experience developing and consuming RESTful APIs, JSON-based services, and third-party integrations.
  • Strong database experience with PostgreSQL, MySQL, MongoDB, Redis, or similar technologies.
  • Experience with Kafka, RabbitMQ, or other event-driven messaging platforms.
  • Hands-on experience with Docker, Kubernetes, CI/CD, Jenkins, Maven, Git, and cloud deployment.