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Google Devops Jobs in Dallas, TX (NOW HIRING)

Copart, Inc.

DevOps Engineering Intern

Dallas, TX · On-site

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. * Exposure to machine learning ...

Zunch Labs

Lead Devops Engineer

Plano, TX

$100K - $150K/yr

Experience with Cloud tools (Azure, AWS, Google). * Experience related to infrastructure ... As the Lead DevOps Engineer you will design, develop and support an on-premise, agile development ...

Motion Recruitment

DevSecOps Engineer - Plano, Tx

Plano, TX

$50.75 - $69.50/hr

... DevOps Engineer to help modernize, automate, and support its cloud infrastructure. This role will focus on building resilient cloud environments for high-priority applications using Google Cloud ...

Navtech, Inc.

.Net Developer

Westlake, TX · On-site

$46.25 - $61.25/hr

... * 5+ years of DevOps experience * 5+ years of experience with Waterfall and Agile project ... Azure, Google, Microsoft OneDrive, Google Drive, Box or Dropbox Regards Alex Keylor NAVTECH INC ...

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Google Devops information

See Dallas, TX salary details

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How much do google devops jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for google devops in Dallas, TX is $59.88, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $68.70 per hour, depending on experience, location, and employer.

What is a Google DevOps?

A Google DevOps job involves managing and automating the deployment, monitoring, and scaling of applications and infrastructure on Google Cloud. DevOps engineers at Google work to streamline development workflows, improve system reliability, and implement best practices for CI/CD and site reliability engineering. They collaborate with developers, operations, and security teams to ensure seamless application performance. Strong knowledge of cloud services, automation tools, and programming is essential for this role.

What are some common challenges faced by Google DevOps professionals in their day-to-day work?

Google DevOps professionals often encounter challenges such as maintaining high system reliability during frequent deployments and rapidly evolving infrastructure requirements. Balancing automation with security best practices, managing large-scale cloud resources, and ensuring seamless collaboration between development and operations teams are other common hurdles. Adapting quickly to new tools and processes, and relentlessly troubleshooting complex issues, are essential aspects of the role. Successfully navigating these challenges is key to supporting fast-paced product development while maintaining robust and secure applications.

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

To thrive as a Google DevOps professional, you need a solid background in cloud computing, automation, CI/CD pipelines, and infrastructure-as-code, usually backed by a degree in computer science or related certifications like Google Cloud Professional DevOps Engineer. Familiarity with tools such as Kubernetes, Terraform, Docker, and Google Cloud Platform services is essential for managing scalable and reliable systems. Strong collaboration, analytical thinking, and troubleshooting skills help drive cross-functional initiatives and resolve issues efficiently. These skills are crucial to maintaining system reliability, optimizing deployment processes, and supporting high-performing engineering teams.

Does Google hire DevOps?

Google hires DevOps engineers to work on infrastructure, automation, and deployment processes using tools like Kubernetes, Docker, and Google Cloud Platform. These roles typically require experience with cloud services, scripting, and continuous integration/continuous deployment (CI/CD) practices.

What are the most commonly searched types of Google Devops jobs in Dallas, TX?

The most popular types of Google Devops jobs in Dallas, TX are:

What are popular job titles related to Google Devops jobs in Dallas, TX?

For Google Devops jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Google Devops jobs in Dallas, TX look for?

The top searched job categories for Google Devops jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Google Devops jobs?

Cities near Dallas, TX with the most Google Devops job openings:

Google Devops jobs near you
Infographic showing various Google Devops job openings in Dallas, TX as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $124,553 per year, or $59.9 per hour.

Software Engineer, DevOps / Infrastructure

Topaz Labs

Dallas, TX • On-site

$110K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

We're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're just getting started.

About us

Rocketship growth and opportunity for impact ($3M $48M revenue in six years). Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more. We're a world-class team that executes quickly, obsesses about the customer experience, promotes from within, and we're profitable with infinite runway.

About the role

As a DevOps Engineer on our team you would be a key part of development on all Topaz software - including our core products, Photo AI, Video AI and Gigapixel, ML model training infrastructure and distribution, and our website and other internal tooling. 
You will be working alongside our current devops engineer and helping expand our pipeline to deliver new products and ML models as we grow in 2024.

Another chief goal is to increase automated testing and stability of our applications.  You will also work closely with our product engineering team to sustain & improve biweekly update deliveries, as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery.

About you
  • At least 2 years of professional working experience in a related field.
  • Deep familiarity with C++ build tools (3+ years).
  • Hands-on experience with AWS, Azure, or similar cloud platforms.
  • Experience building and deploying CI/CD pipelines.
  • Experience implementing test automation.
  • Knowledge of networking infrastructure including CDN caching.
Preferred
  • Experience building releases for Windows and/or MacOS or iOS.
  • Experience in Python, Go or Javascript.
  • QT development/build experience.
  • Experience with Conan.
  • Experience with test automation tools such as Eggplant.
$110,000 - $160,000 a year
Our compensation packages will correspond to experience, but also performance during the interview process. They include base salary, equity, and profit sharing.
Do you meet most but not 100% of the above? We'd still like to hear from you-we are passionate about developing a diverse team and culture, so please apply if you're interested! 

This is a unique role for someone interested in making a deep impact at a high-growth tech software company. We offer strong base salary, plus significant ownership that scales with the company's growth. We also offer 100% covered medical/dental/vision for employees, 15 days annual PTO, 5 personal days, plus holidays, and 401k matching. This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the area.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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