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Devops Engineer Remote Jobs in Flower Mound, TX (NOW HIRING)

YO AI Labs

CUDA Software Engineer - Remote

Dallas, TX · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

Olsson

Geotechnical Engineer - Remote

Dallas, TX · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project proposal and management duties with integrity and a drive to succeed. You will also process design ...

Delan Associates, Inc

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

Stryker

Salesforce Software Engineer (Remote)

Dallas, TX · On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Salesforce Certified Platform Developer I (PDI) or Salesforce Certified Platform Developer II (PDII ...

DataBank

Colocation Engineer (Remote)

Dallas, TX · On-site +1

The Colocation Engineer will be responsible for engineering functions in support of customer ... Work with Operations and Capacity teams to determine sellable space and power at colocation sites

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Devops Engineer Remote information

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How much do devops engineer remote jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for devops engineer remote in Flower Mound, TX is $55.52, according to ZipRecruiter salary data. Most workers in this role earn between $46.54 and $63.70 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

As a remote DevOps engineer, you help manage the development of software for use on a company network system. In this role, you work from home using the phone, email, video chat, or other methods of communication to stay in touch with other developers and users throughout the lifecycle of each product. You typically work with a team to ensure rapid and consistent development. This is a relatively new term, but in general, DevOps focuses on having operations and development engineers participate in a full-service lifecycle to help support end-users and ensure the software becomes the best possible product.

What is a remote DevOps engineer?

DevOps Engineers (Remote) are IT professionals who collaborate with development and operations teams to automate, streamline, and improve software development and deployment processes from remote locations. They focus on integrating code, managing infrastructure, monitoring systems, and ensuring continuous integration and delivery (CI/CD) pipelines are efficient and reliable. Working remotely, they use cloud-based tools and platforms to manage servers, deploy applications, and maintain high system reliability without being physically present in an office. Their role is crucial in accelerating development cycles, reducing errors, and ensuring seamless collaboration between dispersed teams.

How to become a remote DevOps engineer?

To become a remote DevOps engineer, you typically need at least a bachelor’s degree in software engineering, information technology, or computer science and relevant work experience. You must also have familiarity with coding and IT protocols, as well as knowledge of infrastructure code, agile workflow processes, and the various roles that software and IT play in the product life cycle. Because this is a work from home position, you need to have strong time management skills, the ability to work independently, and reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote DevOps engineer?

To thrive as a Remote DevOps Engineer, you need strong skills in software development, infrastructure management, automation, and a solid understanding of cloud platforms, often backed by a relevant degree or certifications like AWS Certified DevOps Engineer. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and CI/CD pipelines is typically required. Excellent problem-solving, collaboration, and communication skills are crucial, especially when working remotely with distributed teams. These skills and qualities are essential for ensuring seamless deployment, system reliability, and effective teamwork in dynamic, cloud-based environments.

How does a remote DevOps engineer typically collaborate with development and IT teams?

As a remote DevOps Engineer, collaboration is often achieved through a mix of communication tools like Slack, Jira, and video conferencing platforms. You'll participate in regular stand-ups, planning meetings, and code reviews to stay aligned with both development and IT operations teams. Effective documentation and clear communication are essential, as you'll often troubleshoot issues or update CI/CD pipelines asynchronously. Remote DevOps Engineers also frequently use shared dashboards and monitoring tools to ensure transparency and rapid response to incidents.

Are Devops engineers still in demand?

Devops engineers remain in high demand due to the ongoing need for automation, continuous integration, and cloud infrastructure management. Organizations seek professionals skilled in tools like Docker, Kubernetes, and cloud platforms to improve deployment efficiency and reliability.

Can a Devops Engineer Remote work remotely?

Yes, many Devops Engineers can work remotely, as the role primarily involves managing infrastructure, automation, and cloud services that can be accessed online. Remote work is common in this field, especially with skills in tools like Docker, Kubernetes, and cloud platforms such as AWS or Azure. However, some positions may require on-site presence for collaboration or specific hardware access.

Is 40 too old to learn a Devops Engineer Remote?

Age is not a barrier to becoming a Devops Engineer. Many professionals successfully transition into Devops roles at various ages by gaining skills in automation, scripting, cloud platforms, and tools like Docker and Kubernetes, often through online courses and certifications. Employers value skills and experience over age, and continuous learning is common in the tech industry.
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For Devops Engineer Remote jobs in Flower Mound, TX, the most frequently searched job titles are:

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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Flower Mound, TX as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $115,490 per year, or $55.5 per hour.

CUDA Software Engineer - Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $100/hr

Full-time

Posted 6 days ago

Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities

  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications

  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications

  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.