ZipRecruiter

Log In

1

Google Developer Jobs in Texas (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and ...

Google

CPU Emulation Engineer, Silicon

Austin, TX · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related ... Google's mission is to organize the world's information and make it universally accessible and ...

New

Google

Staff Wireless Network Engineer

Austin, TX · On-site

About the job Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably ...

Accenture

Google Senior Data Engineer

Houston, TX · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Accenture

Google Senior Data Engineer

Austin, TX · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Google

Product Manager, Marketing Engineering

Austin, TX · On-site

$152K/yr

Experience with both internal engineering teams and external development partners ... About the job At Google, we put our users first. The world is always changing, so we need Product ...

Accenture

Google Senior Data Engineer

Dallas, TX · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Deloitte

Cyber - Google SecOps - Manager

Dallas, TX

As a Google SecOps Manager supporting Google SecOps engagements, you will contribute to high ... Leading and mentoring junior team members in SOC engineering, including SIEM, SOAR, and process ...

previous page

Showing results 41-60

All JobsGoogle Developer JobsGoogle Developer Jobs in Texas

Google Developer information

See Texas salary details

$15

$49

$76

How much do google developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for google developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a Google developer?

Google Developers are individuals or professionals who use Google’s technologies, tools, and platforms to build applications, websites, or solutions. They may work with products like Android, Chrome, Firebase, Google Cloud, and more. Google Developers can be independent or part of organizations, and they often participate in Google’s developer communities, events, and programs to enhance their skills and stay updated with the latest advancements.

What are the key skills and qualifications needed to thrive as a Google developer?

To thrive as a Google Developer, you need solid programming skills (such as Java, Python, or Kotlin), experience with Google platforms (like Android or Google Cloud), and often a relevant degree or certification. Familiarity with tools such as Android Studio, Firebase, and Google APIs is typically expected. Creative problem-solving, collaboration, and strong communication are important soft skills for working in diverse, fast-paced teams. These skills enable developers to build scalable, innovative applications that integrate seamlessly with Google's ecosystem and meet user needs.

How does a Google developer typically collaborate with cross-functional teams during a project?

As a Google Developer, collaboration with cross-functional teams—including product managers, designers, and quality assurance engineers—is a key part of the development process. You'll participate in regular meetings to align on project goals, share technical insights, and address challenges. This role often requires clear communication to translate technical concepts for non-engineering stakeholders and to ensure that features are implemented in line with both user needs and business objectives. Efficient teamwork and adaptability are essential, as priorities may shift and fast-paced iteration is common.

What is the difference between Google Developer vs Android Developer?

AspectGoogle DeveloperAndroid Developer
Primary FocusDeveloping Google products and services, including APIs, cloud solutions, and platformsDesigning, building, and maintaining Android applications
Required SkillsGoogle APIs, cloud computing, programming languages (Java, Python), platform integrationAndroid SDK, Java/Kotlin, UI/UX design, mobile app development
Work EnvironmentTech companies, Google offices, cloud service providersMobile app development firms, tech startups, freelance projects

Google Developers focus on creating and maintaining Google platforms, APIs, and cloud services, while Android Developers specialize in building mobile applications for Android devices. Both roles require programming skills, but their work environments and project types differ significantly.

How to get a Google Developer job?

To get a Google Developer job, candidates should have strong programming skills in languages like Java, Python, or C++, and experience with Google technologies such as Android, Cloud, or APIs. Building a portfolio of projects, obtaining relevant certifications, and gaining experience through internships or open-source contributions can improve chances. Familiarity with Google's developer tools and a solid understanding of software development best practices are also beneficial.

What are the most commonly searched types of Google Developer jobs in Texas?

The most popular types of Google Developer jobs in Texas are:

What are popular job titles related to Google Developer jobs in Texas?

For Google Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Google Developer jobs in Texas look for?

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

Google Developer jobs near you
Infographic showing various Google Developer job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Re-posted 2 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration