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

FiveTran

Senior Software Engineer

Oakland, CA · Hybrid

$140K - $185K/yr

Java * SQL * Bazel, BuildKite, Docker, Kubernetes, Github * AWS, GCP, Azure * Postgres database ... Mentor Junior developers * Make Fivetran the most reliable and secure component of our customers ...

Prosper

Sr. Software Engineer, Backend

San Francisco, CA · On-site +1

$173K - $205K/yr

Build and evolve our high-performance Java and Kotlin microservices, deploying scalable features ... Design modern event-driven architectures (like GCP Pub/Sub) that accelerate development across ...

Fivetran

Staff Site Reliability Engineer

Oakland, CA · On-site

$196K - $245K/yr

Technologies You'll Use Managed Kubernetes, GCP, AWS, Azure Cloud platforms, Temporal Cloud ... Bonus if you have Java, GO, etc * Expertise with Linux operating systems, internals, and ...

Lorven Technologies

ML Ops Engineer

Concord, CA · On-site

Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS ... Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost ...

10a Labs

Software Engineer, Backend

San Francisco, CA · Remote

$105K - $125K/yr

Deploy and manage services on Google Cloud Platform (GCP) such as Cloud Run, Vertex AI, and API ... Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and ...

Fivetran

Senior Software Engineer

Oakland, CA · Hybrid

$140K - $185K/yr

Java * SQL * Bazel, BuildKite, Docker, Kubernetes, Github * AWS, GCP, Azure * Postgres database ... Mentor Junior developers * Make Fivetran the most reliable and secure component of our customers ...

Deloitte

CyberArk Senior Consultant

San Francisco, CA

... GCP. * Experience with object-oriented programming using languages such as Java, Python, or JavaScript/TypeScript. * Experience with frontend development using Angular, React, or Next.js, and with ...

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All JobsJava Developer Gcp JobsJava Developer Gcp Jobs in Benicia, CA

Java Developer Gcp information

See Benicia, CA salary details

$18

$66

$90

How much do java developer gcp jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for java developer gcp in Benicia, CA is $66.07, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $73.94 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 job categories do people searching Java Developer Gcp jobs in Benicia, CA look for? The top searched job categories for Java Developer Gcp jobs in Benicia, CA are:
What cities near Benicia, CA are hiring for Java Developer Gcp jobs? Cities near Benicia, CA with the most Java Developer Gcp job openings:
Java Developer Gcp jobs near you

Software Engineer - DevOps and MLOps

Maven Robotics

San Francisco, CA • On-site

$62.25 - $85/hr

Full-time

Re-posted 2 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Software Engineer - Software Development and Machine Learning Operations to build and maintain the infrastructure that supports our software development, machine learning models, and AI operations.
In this role you will:
  • Design, implement, and manage CI/CD pipelines to facilitate seamless code integration and deployment.
  • Monitor and optimize system performance, availability, and security.
  • Automate infrastructure orchestration and configuration management using tools such as Kubernetes, Ansible, and similar.
  • Configure and maintain data infrastructure appliances.
  • Troubleshoot and resolve issues related to applications, infrastructure, and deployments.
  • Work closely with our development and AI teams to deliver solutions that increase efficiency and stability.
Qualifications
Must-have:
  • BS or MS in software engineering, computer science, or a related field.
  • Proven experience standing up a CI/CD system from scratch.
  • Experience with multi-language build systems (e.g., Bazel, Bob).
  • Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Experience with automation tools (e.g., Terraform, Ansible, GitHub Actions, Jenkins) and version control systems (e.g., Git).
  • Strong programming skills in languages such as Python, Go, or Java.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Experience with MLOps platforms (e.g., MLflow, Kubeflow, or SageMaker).
  • Knowledge of big data technologies (e.g., Hadoop, Spark, or Kafka).
  • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
  • Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-Learn).
  • Experience with edge computing and IoT device management.
  • Knowledge of security best practices and compliance standards in AI/ML environments.
  • Proficiency in database management systems (e.g., PostgreSQL, MongoDB, or Cassandra).
  • Experience with infrastructure-as-code tools (e.g., CloudFormation, Pulumi).
  • Knowledge of GitOps practices and tools (e.g., ArgoCD, Flux).

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