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

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 ...

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 ...

6sense

Senior Software Engineer

San Francisco, CA · Remote

$191K - $287K/yr

... or Java * Understanding of microservices and distributed systems * Experience with AWS, GCP, or ... Prior experience mentoring or leading engineers Base Salary Range: $$191,360.00 - $287,040.00. The ...

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 ...

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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 Aug 6, 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?

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 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 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

Hiring: ML-Ops Engineer at Concord, CA

Realtech Services

Concord, CA • On-site

Contractor

Re-posted 25 days ago

Job description


 
 

Job Title: ML-Ops Engineer

Location: Concord, CA (Onsite)

Duration: Long-Term Contract

Interview Process: Client Round – In-person (Lets Target only locals and willing to go for in-person interview at Client’s location)

Overview:

  • Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.

Key Responsibilities:

  • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.
  • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
  • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
  • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
  • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverage Auto ML tools (e.g., Vertex AI Auto ML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Qualifications:

  • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations.
  • Strong proficiency in Java and  Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
  • Experience with cloud platforms and containerization (Docker, Kubernetes).
  • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
  • Solid understanding of software engineering principles and DevOps practices.
  • Ability to communicate complex technical concepts to non-technical stakeholders.