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Remote Devops Jobs in Texas (NOW HIRING)

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your ...

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Identify opportunities to improve operational efficiency, governance, security, and developer ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 41-60

Remote Devops information

See Texas salary details

$15

$56

$80

How much do remote devops jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote devops in Texas is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $64.71 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

Can you work as a remote DevOps?

Yes, many DevOps roles can be performed remotely, especially those focused on cloud infrastructure, automation, and software deployment. Remote DevOps positions often require strong skills in tools like Docker, Kubernetes, and CI/CD pipelines, along with good communication and collaboration abilities. However, some companies may prefer on-site presence for certain tasks or team coordination.

Is 40 too old to learn remote DevOps?

Age is not a barrier to learning or working as a remote DevOps engineer. Success depends on acquiring relevant skills such as scripting, cloud platforms, and automation tools, which can be learned at any age through online courses and hands-on practice.

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

The most popular types of Devops jobs in Texas are:

What job categories do people searching Remote Devops jobs in Texas look for?

The top searched job categories for Remote Devops jobs in Texas are:

What cities in Texas are hiring for Remote Devops jobs?

Cities in Texas with the most Remote Devops job openings:

Infographic showing various Remote Devops job openings in Texas as of August 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,303 per year, or $56.4 per hour.

Senior AI DevOps Engineer

Roku

Austin, TX • Remote

$128K - $165K/yr

Full-time

Re-posted 13 days ago


Job description

About the team 

Join a high-performing, innovative team that plays a pivotal role in Roku's mission to be the best TV streaming platform in the world. Our team is responsible for delivering intuitive, high-quality mobile applications that enhance the way millions of users interact with Roku devices globally. We pride ourselves on creating products that "just work" - seamlessly and effortlessly. This commitment to excellence is driven by a collaborative, inclusive, and results-oriented culture where your contributions will directly impact the user experience of millions. If you're passionate about building products that feel magical and intuitive, this is the team for you.

About the role 

The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your role will use AI to design and build a completely autonomous, self-healing CI/CD and QA automation pipeline for multiple products with millions of users.  You treat AI as your primary design tool not an add-on.  Every system you build should minimize human intervention, from code push to app store submission. You'll own CI Pipeline Architecture: the path from git push to a green or red signal. Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device Orchestration: the software systems that schedule, monitor, and recover the test infrastructure.

What you'll be doing 
  • Design and maintain CI/CD pipelines for iOS and Android on GitLab CI
  • Architect pipeline stages for fail-fast execution: cheapest checks first (lint, compile, static analysis), expensive checks last (device farm tests)
  • Build smart test routing: analyze MR diffs to determine which tests need physical devices and which can run on emulators, so 80% of MRs never touch the device farm
  • Build flaky test detection and quarantine systems.  Classify failures as infrastructure-caused vs. code-caused so engineers trust the signal
  • Automate release mechanics: code signing, versioning, TestFlight/Play Console uploads, dSYM and mapping file management.  The goal is zero manual steps between merge and app store submission
  • As agent-authored MR volume grows, ensure pipelines absorb the increase without degrading speed or starving human-authored MRs of resources
  • Build the device reservation and orchestration system that assigns devices to CI jobs, prevents contention, and maximizes utilization without manual scheduling
  • Design self-healing automation: health checks detect unresponsive devices, trigger remote recovery via API, and re-register them no human intervention required
  • Define the device compatibility matrix which firmware/model combinations require real hardware, and which can run on emulators
  • Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue for a device
  • Use AI to identify failure patterns, predict infrastructure issues, and continuously optimize pipeline performance 
Were excited if you have 
  • 5+ year's operating CI/CD infrastructure at scale, preferably GitLab CI
  • Ability to travel up to 20%
  • Deep understanding of mobile build systems (Xcode/xcodebuild, Gradle) and mobile-specific CI challenges (code signing, provisioning, multi-platform builds)
  • Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health monitors, pipeline analytics dashboards
  • Advanced proficiency with AI-assisted development (Copilot, Claude Code, Cursor, or equivalent) you use AI as your default approach to writing code, building systems, and solving infrastructure problems
  • Experience designing autonomous, self-healing systems that detect, diagnose, and recover from failures without human intervention
  • AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount
  • Obsession with developer experience.You measure your success by how fast and reliably engineers get feedback, not by how complex your infrastructure is
  • Data-driven decision making.  You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work

Preferred Qualifications 

  • Experience with infrastructure-as-code (Terraform, Ansible, or equivalent) for managing cloud and on-premises infrastructure
  • Working knowledge of WiFi and BLE protocols enough to understand why tests that exercise radio communication behaves differently from pure software tests
  • Experience with mobile test automation frameworks (XCUITest, Espresso, Appium) not to write tests, but to understand what they need from infrastructure
  • Experience scaling CI for high-volume, automated code generation (agentic engineering, bot-authored MRs) 
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