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Java Developer Gcp Jobs in Santa Clara, CA (NOW HIRING)

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Software Engineer, Backend Java

San Jose, CA

$116K - $173K/yr

Strong backend engineering (Java/Spring, distributed systems) Experience designing, building, and ... GCP) and containerization (Kubernetes) Experience with real-time decisioning systems or ...

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Software Engineer, Backend Java

San Jose, CA · On-site

$116K - $173K/yr

Strong backend engineering (Java/Spring, distributed systems) Experience designing, building, and ... GCP) and containerization (Kubernetes) Experience with real-time decisioning systems or ...

Data Capital Incorporation

GCP Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Senior Data Engineer (Spark Streaming & GCP) Job Summary: We are seeking a highly skilled Senior ... Java development experience * Databricks experience * Docker and Kubernetes * CI/CD and DevOps ...

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Redolent, Inc

Software Engineer - Java/Cloud

Sunnyvale, CA · On-site

$60.75 - $83.25/hr

Experience with deploying web apps to cloud infrastructure (Azure, GCP) and working with ... Focus on continuously improving the DevOps tooling and software delivery processes * Deep dive into ...

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How much do java developer gcp jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for java developer gcp in Santa Clara, CA is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.60 and $74.52 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 Santa Clara, CA? For Java Developer Gcp jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Java Developer Gcp jobs in Santa Clara, CA look for? The top searched job categories for Java Developer Gcp jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Java Developer Gcp jobs? Cities near Santa Clara, CA with the most Java Developer Gcp job openings:
Java Developer Gcp jobs near you
Machine Learning Engineer (GCP) IRC296887

Machine Learning Engineer (GCP) IRC296887

GlobalLogic

San Jose, CA • On-site, Remote

$125K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

121st of 190 rated software companies

Job description

Description
  • Primary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling)
  • Production integration: Java-based streaming pipelines (model integration layer)
  • Infrastructure: Hybrid - on-premise streaming + GCP serving stacks
  • Distributed systems: Working knowledge required for debugging and end-to-end testing (not deep expertise)
  • Machine Learning frameworks: TensorFlow, PyTorch, JAX or similar

Requirements
  • Evaluate and benchmark new ML inference frameworks to guide production decisions
  • Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines
  • Own deployment automation end-to-end - from model handoff through live serving
  • Monitor how models behave in production for real end-users.
  • Design and execute benchmarking, performance testing, and quality testing on ML models
  • Perform model sampling to support quality evaluation and researcher feedback loops
  • Debug issues across the full stack - from inference layer down to streaming pipelines.
  • Partner with ML researchers to provide benchmarking feedback and guide inference decisions - requires enough core ML knowledge to have a meaningful technical handshake
  • Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure.
  • Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Disclaimer: GlobalLogic estimates the starting pay range for this role to be performed remotely to be $125,000 to $135,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Job responsibilities
  • Strong foundation in ML inference, deployment, and quality testing
  • Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks - this is the single most important trait
  • End-to-end problem-solving mindset - can own a problem from model handoff to user-facing behavior
  • Core ML knowledge sufficient to benchmark models and collaborate with researchers
  • Experience deploying models in cloud environments, ideally GCP.
  • Exposure to Java or JVM-based systems (model integration happens in Java; deep expertise not required)
  • Familiarity with streaming data architectures
  • Experience in hybrid cloud/on-prem environments.

What we offer
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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