
AI Infrastructure Automation Specialist
4 days ago
We are seeking a highly skilled Staff AI DevOps Engineer to join our team and contribute to the development and maintenance of our AI platform's automated backbone.
In this critical role, you will lead the implementation of cutting-edge DevOps, DevSecOps, and MLOps practices that support continuous delivery, resilient infrastructure, and high-performance AI workloads.
Your key responsibilities will include designing and maintaining CI/CD pipelines, implementing Infrastructure as Code (IaC) and GitOps practices, building and managing Kubernetes-based infrastructure, integrating MLOps tools and workflows, deploying and maintaining observability stacks, enforcing DevSecOps practices, and optimizing cloud infrastructure for performance, cost-efficiency, and resilience.
This is an excellent opportunity for a DevOps engineer who thrives in cross-functional environments and brings a strong sense of ownership to infrastructure reliability and automation.
The ideal candidate will have 5-7+ years of experience in DevOps, SRE, or platform engineering, with expertise in CI/CD pipeline design and tools, Infrastructure as Code (IaC), Kubernetes administration, and MLOps tools and platforms.
A Bachelor's degree in Computer Science, DevOps Engineering, or a related field is required, with preferred certifications in Certified Kubernetes Administrator (CKA), DevOps Engineer certifications (AWS, Azure, GCP), or FinOps certification.
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