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Java Developer Gcp Jobs in Grand Prairie, TX (NOW HIRING)

Java Fico

Dallas, TX · On-site

$50.50 - $65.25/hr

Info Way Solutions is seeking a highly skilled Java Developer with expertise in FICO applications ... or GCP) and containerization (Docker, Kubernetes) is a plus. • Excellent problem-solving ...

Backend Developer (Java) - Springfield

Dallas, TX · On-site

$50 - $64.75/hr

Backend Developer (Java Microservices - Spring Boot):- We are looking for an experienced and highly ... Deploy, monitor, and manage applications on Google Cloud Platform (GCP) . * Implement CI/CD ...

Backend Developer (Java Microservices - Spring Boot):- We are looking for an experienced and highly ... Deploy, monitor, and manage applications on Google Cloud Platform (GCP) . * Implement CI/CD ...

Java Spring Boot Developer

Plano, TX · On-site

$48.75 - $63.25/hr

Senior Java Spring Boot Developer Location: Plano, TX (100% Onsite) (onsite interview) Job Type: 12 ... Familiarity with cloud services (AWS, Azure, GCP) and container technologies (Docker, Kubernetes ...

Java Full stack Developer

Dallas, TX · On-site

$52.25 - $67.25/hr

Java Full Stack Developer Location: Dallas, TX / New Jersey Employment Type: Fulltime/Contract ... Exposure to cloud platforms (AWS, GCP, or Azure). * Experience with CI/CD tools such as Jenkins ...

Java Full Stack Engineer

Plano, TX · On-site

$50.25 - $64.75/hr

JAVA FULL STACK ENGINEER LOCATION: PLANO, TX (ONSITE) NO H1B DURATION: 12 MONTHS WITH POSSIBLE ... GCP) and using its related services, such as GKE and Pub/Sub. * Familiarity with DevOps practices ...

Strong experience building GraphQL APIs (Apollo, graphql-java, or similar) * Solid understanding of distributed systems and microservices * Hands‑on experience with Google Cloud Platform (GCP)

Showing results 21-40

Java Developer Gcp information

See Grand Prairie, TX salary details

$14

$53

$73

How much do java developer gcp jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for java developer gcp in Grand Prairie, TX is $53.67, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $60.05 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 Grand Prairie, TX?

For Java Developer Gcp jobs in Grand Prairie, TX, the most frequently searched job titles are:

What job categories do people searching Java Developer Gcp jobs in Grand Prairie, TX look for?

The top searched job categories for Java Developer Gcp jobs in Grand Prairie, TX are:

What cities near Grand Prairie, TX are hiring for Java Developer Gcp jobs?

Cities near Grand Prairie, TX with the most Java Developer Gcp job openings:

Senior Java Developer GenAI Microservices

Dallas, TX • On-site

$56.75 - $72.25/hr

Full-time

Posted 28 days ago


Job description

Job title: Senior Java Developer – GenAI & Microservices (8-10 YOE)

Location: Dallas, TX or Columbus, OH

Client: JPMC
 
Need candidates on our W2

Job Description

We are looking for an experienced Java Developer with strong expertise in System Design, Microservices, Spring Boot, Kafka, Python, and GenAI Architecture. The ideal candidate will be responsible for designing scalable, high-performance enterprise applications and integrating modern GenAI capabilities into distributed systems.

Key Responsibilities

  • Design and develop scalable, resilient applications using Java, Spring Boot, and Microservices.
  • Own and contribute to high-level and low-level system design, architecture, and technical solutioning.
  • Design event-driven architectures using Apache Kafka for real-time data and asynchronous processing.
  • Develop secure and scalable REST APIs and backend services.
  • Design and implement GenAI/LLM-based architectures, including RAG, AI agents, model integration, and AI-powered enterprise solutions.
  • Work with Python for AI/ML integrations, automation, data processing, and GenAI application development.
  • Integrate LLMs and AI services with existing Java-based enterprise applications and microservices.
  • Evaluate and recommend appropriate technologies, frameworks, design patterns, and architectural approaches.
  • Drive performance, scalability, reliability, security, and observability across distributed systems.
  • Collaborate with product managers, architects, data engineers, ML engineers, and development teams.
  • Provide technical leadership, conduct code/design reviews, and mentor engineering teams.

Required Skills

  • 8+ years of experience in Java/J2EE application development.
  • Strong expertise in Java, Spring Boot, and Microservices Architecture.
  • Strong understanding of System Design, Distributed Systems, Design Patterns, and API Architecture.
  • Hands-on experience with Apache Kafka and event-driven architecture.
  • Strong Python programming experience, particularly for AI/GenAI integrations.
  • Experience designing or implementing GenAI architectures and LLM-based applications.
  • Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents.
  • Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models.
  • Strong understanding of REST APIs, authentication, security, scalability, and performance optimization.
  • Experience with relational and/or NoSQL databases.
  • Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, CI/CD, and modern DevOps practices is preferred.

Preferred Skills

  • LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks.
  • Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar.
  • Experience building Agentic AI / Multi-Agent Systems.
  • Knowledge of AI/ML concepts and model deployment.
  • Experience with observability tools and distributed tracing.
  • Strong communication, problem-solving, and technical leadership skills.

Ideal Candidate

A strong candidate will be a Java/Spring Boot expert who also understands modern GenAI architecture, with the ability to bridge traditional enterprise microservices and emerging AI/LLM technologies.

Keywords: Java | Spring Boot | Microservices | System Design | Kafka | Python | GenAI | LLM | RAG | AI Agents | REST API | Cloud | Kubernetes