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Java Developer Gcp Jobs in Livermore, CA (NOW HIRING)

Strong expertise in Java, Python, and Full Stack Development with a focus on backend development ... Hands-on experience with Google Cloud Platform (GCP) and BigQuery. * Strong troubleshooting ...

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Java Developer Gcp information

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$18

$66

$90

How much do java developer gcp jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for java developer gcp in Livermore, CA is $66.51, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.42 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 Livermore, CA?

For Java Developer Gcp jobs in Livermore, CA, the most frequently searched job titles are:

What job categories do people searching Java Developer Gcp jobs in Livermore, CA look for?

The top searched job categories for Java Developer Gcp jobs in Livermore, CA are:

What cities near Livermore, CA are hiring for Java Developer Gcp jobs?

Cities near Livermore, CA with the most Java Developer Gcp job openings:

Senior Data Engineer -GCP

Precision Technologies Corp

Mountain View, CA • On-site

$125K - $169K/yr

Contractor

Re-posted 19 days ago


Job description

Role : Senior Data Engineer - GCP

Location : Mountain View CA (Onsite)

What you’ll do

  • Develop and enhance Python frameworks and libraries to support data processing, quality, lineage, governance, analysis, and machine learning operations.
  • Design, build, and maintain scalable and efficient data pipelines on GCP.
  • Implement robust monitoring, logging, and alerting systems to ensure the reliability and stability of data infrastructure.
  • Build scalable batch pipelines leveraging Big query, Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
  • Building data pipelines, leveraging Scala, Pub Sub, Akka, Dataflow on Google Cloud Platform
  • Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

 

Minimum Basic Requirements

  • Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
  • Code Management: Use Git and GitHub for source control, code reviews, and version management.
  • GCP Proficiency: Extensive experience working with GCP services (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage).
  • Python Mastery: Proficient in Python with experience in writing, maintaining, and optimizing data processing frameworks and libraries.
  • Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD.
  • Data Management: Deep knowledge of data modeling, ETL/ELT, and data warehousing concepts.
  • Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
  • Communication: Strong communication skills, including the ability to explain complex technical details to non-technical stakeholders.
  • Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook, pandas, NumPy, and other Python data analysis libraries.
  • Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow, Apache Spark, and scikit-learn.
  • Bachelor’s or master’s degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

 

Preferred Qualifications

  • Experience in Scala, Java, and/or any functional language. We code primarily in Scala, so you’ll be excited to either ramp or continue with such
  • Experience in microservices architecture, messaging patterns, and deployment models
  • Experience in API design and building robust and extendable client/server contracts

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