senior DevOps engineer

we have evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing groundbreaking technologies. we deliver the best User Experience for our customers and provide detailed access to workload performance through rich metrics. these metrics help users optimize their ai workloads. we are looking for highly skilled DevOps engineers to join our infrastructure group and help shape the future of ai infrastructure.
what you'll be doing: take full end-to-end ownership of our cloud infrastructure, spanning development environments to production systems across various cloud platforms.
compose, build, and develop the architecture of run:ai cloud-native products for a variety of complex customer environments, including on-premise, and cloud
identify and fix production issues while addressing performance challenges to ensure our systems operate flawlessly.
collaborate closely with cross-functional groups to provide architectural and infrastructure input that builds product direction and composition.
partner with r&d, customer success, Professional Services, and pre-sales teams.
continuously evaluate and implement new tools and technologies to improve our release and product deployment processes.