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Google Coding Jobs in Texas (NOW HIRING)

Ensure that evaporative and non‑evaporative thermal systems are installed to meet project‑specific standards, local building codes, ASME standards, and environmental regulations. Google is proud ...

Ensure that evaporative and non‑evaporative thermal systems are installed to meet project‑specific standards, local building codes, ASME standards, and environmental regulations. Google is proud ...

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Google Austin, TX, USA Mid Experience driving progress, solving problems, and mentoring more junior ... Experience with scripting and coding (eg. C/C++, Python, Java). * Experience with fraud or policy ...

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Google Coding information

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How much do google coding jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for google coding in Texas is $30.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 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 job categories do people searching Google Coding jobs in Texas look for?

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

What cities in Texas are hiring for Google Coding jobs?

Cities in Texas with the most Google Coding job openings:

Infographic showing various Google Coding job openings in Texas 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 $63,989 per year, or $30.8 per hour.

Google Cloud Platform Cloud Migration Architect

Manor, TX β€’ On-site

$70 - $89.25/hr

Other

Posted 15 days ago


Job description

Job title: Google Cloud Platform Cloud Migration Architect

Job location: Austin, TX(Hybrid)

Job Type: Contract

Job description:

Role Overview:

We are seeking a highly experienced Google Cloud Platform Cloud Migration Architect to lead comprehensive cloud migration initiatives. This critical role requires guiding application placement strategies across diverse enterprise infrastructures, prioritizing Google Cloud while objectively evaluating AWS Cloud and on-premises Private Cloud targets. You will drive the end-to-end lifecycle, from initial asset discovery to the establishment of a scalable migration factory.

Strategic & Architectural Responsibilities:

  • Infrastructure & Application Discovery: Conduct deep-dive assessments to right-size infrastructure, optimize storage tiers, analyze licensing, and map complex application dependencies.
  • Foundation & Blueprinting: Develop a Google Cloud Platform Cloud Foundation Reference & Best Practices document and perform GAP analyses against current client foundations to establish a target-state Blueprint.
  • High-Level & Detailed Architecture: Design robust Target State application architectures, establishing core foundation constructs for compute, storage, networking, identity management, logging, high availability (HA), and disaster recovery (DR).

Execution & Operations (xOps):

  • Migration Factory & Operating Model: Design and implement a scalable, wave-based Migration Factory, defining Pod/Squad operating structures and execution governance for automated VM and container migrations.
  • xOps & Financial Governance: Develop a comprehensive xOps (CloudOps, FinOps, SecOps) Blueprint, incorporating pricing models, macro-level runtime cost estimates, and targeted adoption of Google’s RAMP program.
  • Advanced CI/CD & AI Tooling: Roll out complete DevSecFinOps pipelines utilizing Infrastructure-as-Code (IaC) to automate environment provisioning. Integrate modern, AI-driven testing frameworks to validate application functionality continuously throughout the migration lifecycle.

Required Qualifications:

  • 10+ years of proven enterprise experience in software engineering, delivery leadership, and global cloud infrastructure.
  • Deep expertise in Google Cloud Platform cloud-native services (Compute Engine, GKE, Cloud Storage, VPC, IAM, Cloud SQL/Spanner), alongside practical multi-cloud architecture mapping across AWS and Google Cloud Platform.
  • Hands-on experience developing sophisticated IaC (Terraform) configurations, DevSecFinOps CI/CD pipelines, and integrating AI testing solutions.
  • Google Cloud Platform Professional Cloud Architect or Cloud DevOps Engineer certification preferred; secondary multi-cloud certifications (such as the AWS Certified Solutions Architect - Professional) are highly advantageous for application placement evaluations.
  • Ability to create migration roadmaps, target architectures, and technical documentation.
  • Strong communication and stakeholder-management skills.