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Google Coding Jobs in Arizona (NOW HIRING)

CVS Health

Software Development Engineer

Scottsdale, AZ · On-site

$72K - $144K/yr

Leverage Google Cloud Platform (GCP) for deploying and managing applications, utilizing GCP ... Code Quality and Security : Write clean, maintainable, and efficient code while adhering to best ...

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Data Engineer - Google Cloud Platform (Contingent Assignment) We are not accepting C2C or 1099 ... Participate in code reviews, technical discussions, and continuous improvement initiatives.

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How much do google coding jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google coding in Arizona is $30.77, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.16 per hour, depending on experience, location, and employer.

What is a Google coding?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What does a typical workday look like for someone in a Google coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.

What are the key skills and qualifications needed to thrive in the Google coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What are the most commonly searched types of Google Coding jobs in Arizona?

The most popular types of Google Coding jobs in Arizona are:

What are popular job titles related to Google Coding jobs in Arizona?

For Google Coding jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Google Coding jobs in Arizona look for?

The top searched job categories for Google Coding jobs in Arizona are:

Google Coding jobs near you
Infographic showing various Google Coding job openings in Arizona as of August 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $64,005 per year, or $30.8 per hour.

Senior Software Engineer - Global Servicing Technology

Jobtailor

Phoenix, AZ • On-site

$140 - $190/hr

Other

Posted 6 days ago

Job description


  • Provide thought leadership, engineering expertise and direction to engineering teams

  • Collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery

  • Analyze and elaborate user stories; design and develop software applications

  • Test and build automation tools

  • Own architecture, design, and development of assigned applications

  • Write code and API specifications, develop proofs of concept, conduct code reviews, and test during ongoing sprints

  • Drive consistent development practices, tools, and common components

  • Develop deep understanding of integrations with systems and platforms in supported domains

  • Work with technical product managers on blueprints and annual feature-set planning

  • Identify opportunities to adopt new technology and anticipate future challenges

  • Communicate solution design effectively to internal and external business partners


Requirements

  • Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required

  • 8+ years of commercial software development experience

  • Proficiency with distributed/multi-tier systems and application development

  • Excellent programming skills in Java and Python

  • Hands-on experience with Spring Boot, microservices, Kafka, relational and/or NoSQL databases

  • Experience developing and hosting solutions on Google Cloud Platform, including Google Cloud Storage, BigQuery, and Vertex AI

  • Experience with Agile development, Continuous Integration, and Continuous Delivery

  • Working knowledge of CI/CD pipeline tools

  • Experience with automated release management using Maven, Salt, Git, and Jenkins

  • Strong architecture design and modeling skills for complex systems and architectures

  • Understanding of web technologies including HTTP and Apache

  • Familiarity with Unix/Linux

  • Understanding of data structures, algorithms, and design patterns

  • Knowledge and experience of contact center ecosystem/Genesys Framework and Architecture preferred

  • Experience building and integrating AI/ML solutions into production systems

  • Familiarity with TensorFlow and PyTorch

  • Hands-on experience with Generative AI technologies, LLMs, prompt engineering, and AI-powered application development

  • Experience using Vertex AI for model development, deployment, and monitoring

  • Awareness of responsible AI practices, including model governance, bias mitigation, and explainability

  • Strong written communication, documentation, leadership, collaboration, and stakeholder-influence abilities

  • Employment eligibility to work with American Express in the United States required; visa sponsorship will not be pursued


Core Competencies

Demonstrates expertise in software architecture, design, and development, with a strong focus on Java, Python, and cloud technologies. Proven ability to lead engineering teams, drive continuous delivery, and integrate AI/ML solutions into production systems.


Highest-signal resume keywords

  • Java Programming

  • Python Programming

  • Spring Boot

  • Google Cloud Platform

  • Agile Development


ATS Optimization Keywords
Hard Skills

  • Software Development

  • Distributed Systems

  • Microservices

  • Relational Databases

  • NoSQL Databases

  • CI/CD Pipeline

  • Automated Release Management

  • Data Structures

  • Algorithms

  • Design Patterns


Soft Skills

  • Leadership

  • Collaboration

  • Written Communication

  • Stakeholder Influence

  • Documentation


Certifications & Qualifications

  • Bachelor’s Degree in Computer Science

  • Computer Science Engineering


Industry Keywords

  • Continuous Integration

  • Continuous Delivery

  • Contact Center Ecosystem

  • Genesys Framework

  • Responsible AI Practices


Tools & Technologies

  • Kafka

  • Maven

  • Salt

  • Git

  • Jenkins

  • TensorFlow

  • PyTorch

  • Vertex AI

  • Apache

  • Unix/Linux

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