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Gcp Cloud Developer Jobs in Santa Rosa, CA (NOW HIRING)

Doxel

Senior Platform Engineer, Security

Bodega Bay, CA

$175K - $220K/yr

Own cloud security posture on GCP, bake security into CI/CD and the supply chain, and help shape how Doxel uses AI safely. What You'll Do * Work with DevOps team to build out golden paths that ...

Calfus Inc.

Software Engineer

Sonoma, CA · On-site

... DevOps and platform work. You will spend your days in Linux, writing Python and shell to automate ... Exposure to a cloud provider (AWS, Azure, or GCP) at the level of spinning up compute, storage, and ...

Calfus Inc.

Software Engineer

Santa Rosa, CA · On-site

... DevOps and platform work. You will spend your days in Linux, writing Python and shell to automate ... Exposure to a cloud provider (AWS, Azure, or GCP) at the level of spinning up compute, storage, and ...

Apple

Staff Software Engineer, Apple Ads

Bodega Bay, CA

$184K - $324K/yr

Description Advertiser Services is a diverse, global, agile engineering team that moves smart and ... Familiarity with cloud paradigms ( e.g AWS or GCP ) Proven ability to work on sophisticated ...

Diamond Foundry

Senior Software Engineer

Bodega Bay, CA

$150K - $175K/yr

Working experience in cloud computing platforms (AWS, GCP, Azure) * Working experience with Python ... Manufacturing and Engineering Departments Physical Requirements: -Use appropriate PPE and follow ...

Diamond Foundry

Senior Software Engineer

Bodega Bay, CA

$150K - $175K/yr

Working experience in cloud computing platforms (AWS, GCP, Azure) * Working experience with Python ... Manufacturing and Engineering Departments Physical Requirements: -Use appropriate PPE and follow ...

Ema

Software Engineer, Backend

Bodega Bay, CA · On-site

$135K - $200K/yr

We are seeking a Software Engineer to join the Ema team. You are passionate about designing and ... Experience with cloud technologies like GCP, AWS and Azure * Experience with containerization ...

Ema

Software Engineering Lead, Backend

Bodega Bay, CA · On-site

$135K - $300K/yr

As an Enterprise Software Engineer, you will be responsible for designing, developing, and ... Experience with cloud technologies like GCP, AWS and Azure * Experience with containerization ...

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How much do gcp cloud developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for gcp cloud developer in Santa Rosa, CA is $67.47, according to ZipRecruiter salary data. Most workers in this role earn between $59.13 and $80.96 per hour, depending on experience, location, and employer.

Machine Learning Engineer

Santa Rosa, CA • On-site

Keysight Technologies, Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about Keysight Technologies, Inc.external

$145K - $266K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.

Key responsibilities

  • Design and implement supervised and unsupervised machine learning models for predictive analytics.

  • Collaborate with cross-functional teams to define impactful ML use cases and develop domain-specific models.

  • Work with DevOps and Data Engineering teams to automate deployment, monitor models, and maintain ML pipelines.

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact.
Responsibilities
1. Machine Learning Development & Deployment
  • Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.
  • Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.
  • Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2. Cross-Functional ML Use Cases
  • Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.
  • Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.

3. Model Governance and MLOps
  • Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.
  • Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture
  • Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.
  • Perform feature selection, transformation, and engineering aligned with each domain's business logic.

5. Communication & Stakeholder Collaboration
  • Present technical insights and model results to business and executive stakeholders in a clear, actionable format.
  • Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications
Required:
  • 4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation.
  • Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
  • Experience deploying models into production using ML pipelines and orchestration frameworks.
  • Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

Preferred:
  • Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.
  • Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).
  • Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).
  • Background in statistics, forecasting, optimization, or recommendation systems.

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
Visa sponsorship is not available for this position.
California Pay range: MIN $145,000.00 - MAX $266,000.00
Colorado pay range: MIN $135,000.00 - MAX $225,000.00
District of Columbia pay range: MIN $135,000.00 - MAX $225,000.00
Hawaii pay range: MIN $135,000.00 - MAX $225,000.00
Illinois pay range: MIN $135,000.00 - MAX $225,000.00
Maryland pay range: MIN $145,000.00 - MAX $243,000.00
Massachusetts pay range: MIN $145,000.00 - MAX $243,000.00
Minnesota pay range: MIN $135,000.00 - MAX $225,000.00
New Jersey City pay range: MIN $126,000.00 - MAX $211,000.00
New York pay range: MIN $160,000.00 - MAX $266,000.00
Vermont pay range: MIN MIN $135,000.00 - MAX $225,000.00
Washington state pay range: MIN $145,000.00 - MAX $243,000.00
Note: For other locations, pay ranges will vary by region.
This role is eligible for Keysight's Variable Pay Bonus Program
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)
  • Restricted Stock Units

Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.***
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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