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Java Developer Gcp Jobs in Allentown, PA (NOW HIRING)

Purple Hires Inc

Cloud Architect Lead II

Allentown, PA · On-site

$64.25 - $81.75/hr

Design and implement secure cloud architectures across AWS, Azure, and GCP. * Experience and ... Knowledge of programming languages like Python, .NET, or Java. * Cloud Technology Expertise ...

All JobsJava Developer Gcp JobsJava Developer Gcp Jobs in Allentown, PA

Java Developer Gcp information

See Allentown, PA salary details

$15

$55

$76

How much do java developer gcp jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for java developer gcp in Allentown, PA is $55.95, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $62.64 per hour, depending on experience, location, and employer.

What are the roles and responsibilities of a Java developer GCP?

A Java Developer GCP is a software engineer who specializes in building, deploying, and maintaining Java applications on Google Cloud Platform (GCP). Their responsibilities typically include developing cloud-native applications, integrating Java code with GCP services (such as Cloud Functions, App Engine, and Cloud Storage), and ensuring applications are secure, scalable, and efficient. They also work on CI/CD pipelines, troubleshoot cloud deployment issues, and collaborate with other teams to optimize cloud resources. Familiarity with Java frameworks (like Spring Boot) and GCP tools is essential for this role.

What are the key skills and qualifications needed to thrive as a Java developer GCP?

To thrive as a Java Developer GCP, you need strong proficiency in Java programming, experience with cloud computing concepts, and a solid understanding of Google Cloud Platform (GCP) services. Familiarity with tools like Cloud Functions, BigQuery, Kubernetes, and relevant GCP certifications such as the Professional Cloud Developer are highly valuable. Excellent problem-solving abilities, adaptability, and effective communication help you work collaboratively in dynamic, cloud-based environments. These skills are crucial to building scalable, efficient, and secure cloud applications that meet organizational needs.

What are some common challenges Java developers face when working with Google Cloud Platform (GCP)?

Java Developers working with GCP often encounter challenges such as optimizing application performance in a cloud-native environment, ensuring secure integration with various GCP services, and adapting to frequent updates in cloud technologies. Navigating GCP’s managed services like Cloud Functions, Pub/Sub, and BigQuery requires a solid understanding of both Java best practices and cloud architecture. Additionally, collaboration with DevOps teams is essential for successful deployment and scaling, making strong communication and problem-solving skills highly valuable.

What is the difference between Java Developer Gcp vs Java Developer AWS?

AspectJava Developer GcpJava Developer AWS
CertificationsGoogle Cloud certifications (e.g., Professional Cloud Developer)AWS certifications (e.g., AWS Certified Developer)
Work EnvironmentGoogle Cloud Platform services, GCP-specific toolsAmazon Web Services, AWS-specific tools
Industry UsageOrganizations using GCP infrastructureOrganizations using AWS infrastructure
Common Search IntentComparing GCP-based Java roles with AWS-based roles

Java Developer Gcp and Java Developer AWS are similar roles focusing on Java development within cloud environments. The main difference lies in the cloud platform used: GCP versus AWS. Both roles require Java expertise and cloud certifications, but they specialize in different cloud services and tools. Your choice depends on the employer's cloud infrastructure and your certification preferences.

What are popular job titles related to Java Developer Gcp jobs in Allentown, PA?

For Java Developer Gcp jobs in Allentown, PA, the most frequently searched job titles are:

What job categories do people searching Java Developer Gcp jobs in Allentown, PA look for?

The top searched job categories for Java Developer Gcp jobs in Allentown, PA are:

What cities near Allentown, PA are hiring for Java Developer Gcp jobs?

Cities near Allentown, PA with the most Java Developer Gcp job openings:

Java Developer Gcp jobs near you

Sr Full stack Java Developer

Hudson Manpower

Allentown, PA • On-site

$60 - $65/hr

Contractor

Posted 18 days ago

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.

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