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Java Developer Gcp Jobs in San Diego, CA (NOW HIRING)

GCP Cloud Analytics Engineer

San Diego, CA · On-site

$59.25 - $79/hr

Experience with Spark, Java, Apache Kafka, and Striim * Experience with other cloud platforms ... GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn ...

Extensive DevOps CI/CD experience, including hands-on with CI/CD pipelines and tools like Jenkins ... Specific to GCP/MOR Tower: Strong experience with AWS services and Docker * Amazon S3: Configuring ...

Python, Java, TypeScript, Angular / React and React Native for web. • Data: SQL and NoSQL systems ... GCP. • Strong debugging and analysis skills, for root causing complex issues. • High degree of ...

Data Engineer

Carlsbad, CA · On-site +1

$174K - $261K/yr

... developer using one of the following: Java, Python, or Scala Salary range $140,500.00 - $221,500.00 ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Python, Java, TypeScript, Angular / React and React Native for web. * Data: SQL and NoSQL systems ... Cloud expertise / Certified - Azure/AWS/GCP * Strong debugging and analysis skills, for root ...

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino ... Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.

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Java Developer Gcp information

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How much do java developer gcp jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for java developer gcp in San Diego, CA is $60.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $67.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java Developer GCP, and why are they important?

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 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 Java Developer GCP roles and responsibilities?

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 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 are popular job titles related to Java Developer Gcp jobs in San Diego, CA? For Java Developer Gcp jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Java Developer Gcp jobs in San Diego, CA look for? The top searched job categories for Java Developer Gcp jobs in San Diego, CA are:
What cities near San Diego, CA are hiring for Java Developer Gcp jobs? Cities near San Diego, CA with the most Java Developer Gcp job openings:
Infographic showing various Java Developer Gcp job openings in San Diego, CA as of July 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,209 per year, or $60.2 per hour.

Backend Java Developer (with Neo4j Infrastructure Expertise) IN San Diego, CA

talentmovers inc

San Diego, CA • On-site

$53.50 - $69.50/hr

Contractor

Re-posted 29 days ago


Job description

Backend Java Developer (with Neo4j Infrastructure Expertise)
 

Job Title: Backend Java Developer (with Neo4j Infrastructure Expertise)

Location: San Diego, CA

Job Summary:

We are seeking a skilled Backend Java Developer with hands-on experience in managing Neo4j infrastructure. The ideal candidate will have a strong background in Java development and be capable of deploying, maintaining, and optimizing Neo4j graph databases in production environments. This role bridges backend engineering with graph database infrastructure operations.

Key Responsibilities:

  • Develop and maintain scalable backend services using Java, Spring Boot, and related technologies
  • Design and integrate graph-based data models using Neo4j
  • Write efficient and optimized Cypher queries for application use cases
  • Manage the deployment, configuration, monitoring, and scaling of Neo4j instances (on-premises or in the cloud)
  • Ensure database reliability, availability, and performance in production and staging environments
  • Implement backup, recovery, and security strategies for Neo4j databases
  • Collaborate with DevOps teams to integrate Neo4j into CI/CD pipelines and monitoring systems
  • Analyze and tune query and indexing performance
  • Support developers and analysts with graph data access and model design

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
  • 3+ years of experience in backend development with Java and Spring Boot
  • 1+ years of hands-on experience managing Neo4j infrastructure in production environments
  • Proficiency with Cypher query language and graph data modeling
  • Experience with system administration tasks related to databases (e.g., backups, monitoring, tuning)
  • Familiarity with Docker, Kubernetes, or containerized deployments
  • Understanding of Linux environments and shell scripting
  • Experience with DevOps tools like Prometheus, Grafana, Ansible, or Terraform

Preferred Qualifications:

  • Experience deploying Neo4j in high-availability or clustered environments
  • Knowledge of Neo4j Aura, K8s Operator, or Graph Data Science (GDS) library
  • Exposure to cloud platforms (AWS, GCP, Azure) – especially Amazon EC2, EKS, or GCP Compute Engine
  • Familiarity with message queues (Kafka, RabbitMQ) and microservices architectures
  • Prior experience with graph use cases like recommendation engines, fraud detection, or knowledge graphs