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Senior DevOps Engineer at webAI | Austin, TX

webAIAustin, TX
On-site Full-time $200K/yr - $400K/yr

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Experience Level

Senior

Qualifications

Key Responsibilities:Design and implement secure, scalable infrastructure across multi-cloud environments (AWS, Azure, GCP), hybrid configurations, and edge computing setups. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Pulumi, and Ansible, employing GitOps workflows and automated validation methods. Deploy and manage Kubernetes clusters tailored for AI/ML workloads, ensuring optimal GPU scheduling and adherence to container security best practices. Create secure CI/CD pipelines integrated with security controls such as SAST, DAST, vulnerability scanning, and secrets management. Assist in MLOps infrastructure initiatives, including automation of model deployment, versioning, and lifecycle management.

About the job

About Us:

At webAI, we are at the forefront of artificial intelligence, building a revolutionary distributed AI infrastructure focused on personalized AI solutions. We understand the urgent need for scalability and flexibility in a data-driven world and believe that the future of AI is rooted in distributed edge processing—bringing computation closer to data generation. Our mission is to create a landscape where companies can maintain the privacy of their valuable data and intellectual property while deploying powerful AI models on standard consumer hardware, all without compromising the integrity of the information within those models. We are constructing a comprehensive platform that prioritizes security, scalability, and user control, enabling businesses to harness AI that truly understands their unique needs. Our team is guided by principles of truth, ownership, tenacity, and humility, and we are in search of passionate individuals who share these values and are eager to shape the future of AI.

About the Role:

We are on the hunt for a talented Senior DevOps Engineer to architect, build, and enhance our secure infrastructure that supports AI workloads across both cloud and edge environments. This pivotal role requires a high-impact individual contributor who will influence our infrastructure architecture, enhance platform reliability, and establish security best practices across the organization.

You will collaborate closely with engineering teams to deliver scalable, automated infrastructure solutions that facilitate the efficient operation of our AI platform in various deployment scenarios, ranging from public cloud to hybrid and edge environments. The ideal candidate will possess deep technical expertise, hands-on production experience, and the capability to convert complex requirements into robust infrastructure systems.

About webAI

webAI is revolutionizing the field of artificial intelligence by creating a distributed infrastructure designed for personalized AI, focusing on privacy and efficiency. Our commitment to innovation and user empowerment sets us apart as leaders in the AI landscape.

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