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Devops Engineer Remote Jobs in McKinney, TX (NOW HIRING)

Okaya Corp.

Quick Hire Devops Architect at Remote

Plano, TX · On-site +1

$63.25 - $83.50/hr

Devops Architect Remote Full Time Exp: 10+ years Experience in designing enterprise DevSecOps architecture for AWS cloudonprem application deployment using GitLab Architect Terraform IaC modules for ...

Vytwo

Meanstack Architect with DevOps exp

Prosper, TX · Remote

$45 - $50/hr

Meanstack Architect with DevOps exp for TCoE Location: 100% Remote We are seeking a Meanstack Architect with experience in DevOps to join our team. The ideal candidate will have in-depth knowledge of ...

Wood Plc

Distribution Engineer (remote)

Dallas, TX · On-site +1

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... We provide consulting, projects and operations solutions in more than 60 countries, employing ...

Vital IT Services

Software Engineer (Remote)

Allen, TX · Remote

$95K - $115K/yr

Sprint Hygiene & Operational Visibility: Estimating assigned tasks accurately, updating Jira ... Skills & Experience of the Software Engineer * Professional Core Experience: 3-6 years of verified ...

ICF

Substation Physical Engineer - REMOTE

Dallas, TX · Remote

$97K - $124K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is seeking a Substation Physical Engineer, to work primarily on the design of projects on distribution ...

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 ...

New

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 ...

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All JobsDevops Engineer JobsDevops Engineer Remote JobsDevops Engineer Remote Jobs in McKinney, TX

Devops Engineer Remote information

See McKinney, TX salary details

$15

$56

$80

How much do devops engineer remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for devops engineer remote in McKinney, TX is $56.18, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.47 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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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in McKinney, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,848 per year, or $56.2 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 19 days ago

Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.