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Java Developer Gcp Jobs in Portland, OR (NOW HIRING)

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How much do java developer gcp jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for java developer gcp in Portland, OR is $60.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.02 and $67.31 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 Portland, OR?

For Java Developer Gcp jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Java Developer Gcp jobs in Portland, OR look for?

The top searched job categories for Java Developer Gcp jobs in Portland, OR are:

Java Developer Gcp jobs near you

Manager, Machine Learning Engineering - Ad Platforms

5014 Disney Entertainment & Sports LLC

Beaverton, OR • On-site

$171K - $230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Manager, Machine Learning Engineering – Ad Platforms Job Summary: You will apply your battle‐tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices aligned with close collaboration with the ML team in the US.

Responsibilities:

Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection. Lead by example and always strive to improve designs for more scalable, cleaner, and decoupled implementations. Drive adoption of best practices in model development, code quality, testing, and documentation. Ensure solid understanding and usage of automated tools while adhering to company policy.

Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders. Oversee end‐to‐end machine learning workflow, including data collection, model development, deployment, and modeling, aligned with the larger platform strategy and tools in collaboration with global teams. Foster innovation by exploring new ML techniques, tools, and technologies. Communicate strategies, progress, and results to leadership and cross‐functional teams. Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.

Develop partnerships across the organization to identify and prioritize high‐impact ML opportunities. Participate in on‐call rotations based on the team's escalation policy and support schedule for ML/AI solutions.

Basic Qualifications:

Bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field. 8+ years of relevant industry experience, with at least 2–3 years in a people‐management or technical leadership role. Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling. Proven experience designing, building, and deploying scalable machine learning models and systems in production.

Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices. Advanced programming proficiency (e.g., Python, Java, or similar) and experience with ML/DL frameworks such as TensorFlow, PyTorch, JAX, or Hugging Face. Experience building, fine‐tuning, evaluating, and deploying LLM‐based systems (e.g., RAG, prompt engineering, model optimization). Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Preferred Qualifications:

Domain knowledge in the Ad Tech industry. Experience working with large‐scale data and distributed systems. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Track record of innovation and contributions to the ML/AI community (publications, talks, open source).

Compensation:

Hiring range for this position in Los Angeles, CA area is $171,600 – $230,100 per year and Seattle Area is $179,700 – $241,000. Base pay will be determined based on internal equity, geographic region, job‐related knowledge, skills, and experience. A bonus and/or long‐term incentive units may be offered as part of the compensation package, plus a full range of medical, financial, and other benefits.

Location:

Seattle, WA, USA

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