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Devops Engineer Remote Jobs in Georgetown, TX (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 ...

Staff Engineer - DevOps

Austin, TX · Remote

$52.25 - $71.50/hr

We are seeking a Staff DevOps Engineer to join our CI/CD Platform team within our growing infrastructure organization. This is a high-impact opportunity to help shape the shared delivery and platform ...

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 ...

Lead DevOps Engineer

Austin, TX · On-site +1

$101K - $133K/yr

THE CHALLENGE As a Lead DevOps Engineer you'll help lead efforts to design, automate, and optimize scalable, secure infrastructure. Collaborating with development, operations, and security teams, we ...

Senior DevSecOps Engineer

Austin, TX · Remote

$113K - $155K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... Your expertise in DevOps methodologies and security practices, and federal compliance standards ...

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... are operations, analytics, reporting, and data-driven decision-making. The engineer will work ...

Senior Network Engineer (Remote)

Austin, TX · Remote

$106K - $145K/yr

Must have Network Operations and Planning experience working in a multi-LAN environment designing ... Austin, TX (on-site/remote 40hrs/week) Note: Candidates must be authorized to work in the US. No ...

Google Cloud Engineer

Austin, TX · Remote

$57 - $76.25/hr

Google Cloud Certifications, such as Professional Cloud Architect or Professional Cloud DevOps Engineer Salary is DOE and is extremely competitive. We are a growing company with a solid customer base ...

Google Cloud Engineer

Austin, TX · On-site +1

$54.25 - $72.75/hr

Google Cloud Certifications, such as Professional Cloud Architect or Professional Cloud DevOps Engineer Salary is DOE and is extremely competitive. We are a growing company with a solid customer base ...

Showing results 21-40

Devops Engineer Remote information

See Georgetown, TX salary details

$15

$56

$80

How much do devops engineer remote jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for devops engineer remote in Georgetown, TX is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $64.57 per hour, depending on experience, location, and employer.

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.

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 most commonly searched types of Devops Engineer jobs in Georgetown, TX? The most popular types of Devops Engineer jobs in Georgetown, TX are:
What are popular job titles related to Devops Engineer Remote jobs in Georgetown, TX? For Devops Engineer Remote jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Devops Engineer Remote jobs in Georgetown, TX look for? The top searched job categories for Devops Engineer Remote jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Devops Engineer Remote jobs? Cities near Georgetown, TX with the most Devops Engineer Remote job openings:
Infographic showing various Devops Engineer Remote job openings in Georgetown, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,984 per year, or $56.2 per hour.

Senior AI DevOps Engineer

Roku

Austin, TX • Remote

$128K - $165K/yr

Full-time

Re-posted 14 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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