We are redefining modern DevOps to empower organizations to innovate faster and more securely. This is a place where exceptional talent, strong collaboration, and a passion for technology come together. If you are driven to go above and beyond, you’ll find an environment where your career can grow rapidly while contributing to a mission that has real-world impact. Trusted by thousands of customers—including many of the world’s largest enterprises—our platform enables teams to manage, accelerate, and secure software delivery from code to production.Our Machine Learning group is seeking an experienced Senior DevOps Engineer with a strong passion for building next-generation MLOps platforms. In this role, you will lead large-scale, cross-functional initiatives and collaborate closely with R&D architects to design and deliver robust DevOps solutions for SaaS environments. You will also engage directly with customers, helping them implement scalable, reliable, and secure cloud solutions that meet their evolving needs.What You will do:Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies such as Kubernetes, Helm, Terraform, and moreDesign, implement, and manage cloud and containerized architectures in AWS and Azure, GCP, OpenStackWork with a large scale of customers with extensive use of Kubernetes and HelmTackle large-scale production issues and bring out-of-the-box thinking to the tableEvaluate new cloud-native technologies and vendor products to continuously improve our SaaS offeringsRequirements:Requirements:5+ years of relevant DevOps experience in large-scale production environments2+ years of infrastructure automation, configuration management, or container orchestration2+ years of experience in Python or another advanced programming languageStrong ability to lead, design, and execute cross-organization projectsHigh experience managing container and infrastructure orchestration tools (e.g., Kubernetes, Helm, Terraform)Hands-on experience administering public clouds (AWS or Azure, GCP)Experience building CI/CD pipelines for applications and microservices