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Expect depth on production reliability, pipeline design, incident response, and how AI/ML systems differ from standard app services. Be ready with concrete examples of scale, automation, and collaboration with engineering partners.
Strong fit if you want senior DevOps work at a streaming hardware/software company in Austin, with emphasis on AI systems reliability rather than pure app-only ops.
As a Senior AI DevOps Engineer at Roku in Austin, a typical day would center on keeping ML and AI workloads reliable on streaming-scale platforms: CI/CD for model and service pipelines, infrastructure automation, observability, and close work with platform and data teams so features ship safely to devices and services.
Prioritize cloud/IaC, container orchestration, CI/CD, observability, and production ML ops (deployment, rollback, cost/perf). No certification resources were provided for this listing.
The listing marks remote as off; location is Austin, Travis County, Texas.
Roku is known for streaming players, smart TVs, and streaming services under Roku, Inc.
Production ML/AI delivery, automation, observability, and operating complex pipelines at consumer streaming scale.
Website: roku.com
Roku is a brand of consumer electronics that includes streaming players, smart TVs, as well as two streaming services. The brand is owned by Roku, Inc., an American company.
Public cache only — not an employee review.
Senior AI DevOps Engineer at Roku in Austin, Travis County The Opportunity Roku is seeking a Senior AI DevOps Engineer to join our dynamic team. As a key member of our development and operations group, you will be responsible for building and maintaining robust DevOps processes that support cutting-edge artificial intelligence projects. This role offers the opportunity to work on innovative technologies that are transforming how people watch TV. Collaborate with cross-functional teams to design, implement, and maintain AI-driven solutions Develop and optimize CI/CD pipelines for machine learning models Ensure high availability and scalability of AI applications in production environments Implement automated testing frameworks to ensure quality and reliability of AI systems Work closely with data scientists, engineers, and product managers to deliver state-of-the-art AI solutions Your Responsibilities In this role, you will be responsible for: Designing and implementing scalable DevOps practices for AI projects Optimizing infrastructure to support complex machine learning workloads Developing and maintaining CI/CD pipelines for efficient model deployment Ensuring robust monitoring and logging mechanisms are in place for AI applications Collaborating with team members to identify and resolve technical challenges Who We're Looking For We are looking for a highly skilled Senior AI DevOps Engineer who has: A minimum of 5 years of experience in DevOps, with a focus on AI/ML projects Demonstrated expertise in CI/CD pipelines and automation tools Strong knowledge of cloud platforms such as AWS or GCP Experience with containerization technologies like Docker and Kubernetes A deep understanding of machine learning lifecycle management Excellent problem-solving skills and the ability to work effectively in a fast-paced environment About Roku Roku is the leading TV streaming platform in the U.S., Canada, and Mexico. Our mission is to be the TV streaming platform that connects the entire TV ecosystem, bringing consumers the content they love. We are committed to innovation and excellence, and we value our team members for their contributions to our success. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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