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Devops Engineer Remote Jobs in Round Rock, TX (NOW HIRING)

BitDeer

AI Cloud Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

We are seeking a highly skilled and motivated Cloud Senior DevOps Engineer to join our AI Cloud team. In this high-impact role, you will be the backbone of our deployment and infrastructure ...

New

Realtor.com

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 ...

Roku

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 ...

Take-Two Interactive Software

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 ...

Hyperproof

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 ...

YO AI Labs

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 ...

VetsEZ

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 ...

VetsEZ

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 ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$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 ...

Victory

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 ...

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All JobsDevops Engineer JobsDevops Engineer Remote JobsDevops Engineer Remote Jobs in Round Rock, TX

Devops Engineer Remote information

See Round Rock, TX salary details

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$56

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How much do devops engineer remote jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for devops engineer remote in Round Rock, TX is $56.45, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $64.81 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.

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Devops Engineer Remote jobs near you
Infographic showing various Devops Engineer Remote job openings in Round Rock, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $117,414 per year, or $56.4 per hour.

AI Cloud Senior DevOps Engineer

BitDeer

Austin, TX • On-site, Remote

$128K - $165K/yr

Full-time

Posted 2 days ago

New

Job description

About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Summary:
We are seeking a highly skilled and motivated Cloud Senior DevOps Engineer to join our AI Cloud team. In this high-impact role, you will be the backbone of our deployment and infrastructure operations, ensuring that our AI-powered products and platforms are delivered with speed, security, and exceptional reliability. You will act as a crucial bridge between our research/development teams and real-world deployment, driving automation, optimizing cloud-native architectures, and establishing best practices for MLOps and traditional DevOps workflows.
Key Responsibilities:
  • CI/CD & MLOps Pipeline Management: Design, implement, and maintain end-to-end CI/CD pipelines for both software applications and machine learning models. Automate build, test, deployment, and rollback processes to ensure seamless transitions from innovation to production.
  • Cloud-Native & AI Infrastructure: Build, optimize, and scale cloud-native infrastructure using Kubernetes (K8s) and Docker. Manage and provision specialized computing resources (e.g., GPU clusters) to support high-performance AI workloads and model inferencing.
  • High Availability Architecture: Take ownership of high-availability design in production environments. Implement disaster recovery (DR) strategies, self-healing mechanisms, capacity planning, and performance tuning to meet stringent business SLAs.
  • Infrastructure as Code (IaC): Champion IaC practices utilizing tools such as Terraform, Ansible, and Helm to achieve fully automated, reproducible, and auditable infrastructure provisioning across multiple cloud environments.
  • Observability & Monitoring: Architect and refine comprehensive monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK/EFK stack) to provide deep visibility into system health, application performance, and AI model metrics.
  • Cross-functional Collaboration: Work closely with R&D, Data Science, Security, and Business teams to streamline workflows, eliminate bottlenecks, and continuously elevate engineering efficiency through Internal Developer Platforms (IDP) and Platform Engineering initiatives.
  • Governance, Security & Compliance: Establish and enforce robust system stability and security standards. Manage release workflows, implement Zero Trust access controls, oversee secrets management, and ensure compliance with industry frameworks (e.g., SOC2, ISO27001).
  • Incident Management & Resolution: Act as the technical lead during complex system anomalies and major incidents. Spearhead rapid troubleshooting, conduct thorough root cause analysis (RCA), and implement preventative remediation plans.

Basic Qualifications:
  • Experience & Education: Bachelor's degree or above in Computer Science, Engineering, or a related technical field, with 5+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
  • Networking & OS: Expert-level knowledge of Linux operating systems and core networking principles (TCP/IP, DNS, HTTP, Load Balancing, VPCs).
  • Containerization & Orchestration: Deep mastery of Docker and Kubernetes orchestration, including a thorough understanding of underlying principles, cluster management, and production-level best practices.
  • Cloud Platforms: Proven proficiency in designing and managing infrastructure on major Public or Hybrid Cloud platforms (e.g., AWS, GCP, Azure, Alibaba Cloud), including multi-cloud and hybrid-cloud strategies.
  • Programming Skills: Strong coding and scripting capabilities in at least one major language (Go, Python, Shell, etc.) with a solid engineering-oriented mindset focused on automation and tooling development.
  • Domain Knowledge: Systematic and practical understanding of CI/CD methodologies, Infrastructure as Code (IaC), Observability paradigms, and Site Reliability Engineering (SRE) principles.
  • Soft Skills: Exceptional problem-solving abilities, sharp technical judgment, and excellent cross-team communication skills to effectively collaborate in a fast-paced, dynamic environment.

Preferred Qualifications (Plus):
  • AI/ML Infrastructure Experience: Familiarity with MLOps practices, model serving/inferencing frameworks (e.g., vLLM, TGI, Triton Inference Server), and experience managing GPU clusters for AI/ML workloads.
  • Large-Scale Systems: Proven track record working with large-scale distributed systems or high-concurrency environments (e.g., Fintech, Trading, Real-time processing, or AI platforms).
  • Platform Engineering: Hands-on experience in designing and building Internal Developer Platforms (IDP) to enhance developer autonomy and productivity.
  • Advanced Security: Deep familiarity with Zero Trust architecture, automated security testing (DevSecOps), and implementing strict compliance frameworks (e.g., SOC2, ISO27001).
  • Leadership: Prior experience acting as a Technical Lead, mentoring junior engineers, or managing DevOps teams.

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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