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we are looking for a company On Cloud – Customer Success Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is at the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market." – Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
As a company On Cloud – Customer Success Engineer, you will be regarded as a company Data technical expert specialized in deploying, supporting, and optimizing our enterprise platform within cloud environments. You will be a vital part of the company "Flight Crew" for our customers, working closely with a dedicated team of Support Engineers and Success Managers to manage all post-sales activity and ensure maximum adoption.
Your focus will extend beyond traditional support into active customer success-helping clients design, automate, and navigate hybrid and multi-cloud architectures. You will use your deep cloud-native expertise, hands-on troubleshooting skills, and client-facing mastery to help customers successfully run the company AI OS across the world's leading public and private cloud platforms.
Key Responsibilities
Deploy & Maintain: Deploy, configure, and maintain cloud services and infrastructure components in customer public and private cloud environments.
Build Trusted Relationships: Develop deep, technical, and trusted relationships with customers based on technical excellence, a customer-first mindset, and your command of the company On Cloud product portfolio.
Automation & IaC: Contribute to cloud automation and orchestration efforts using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Shell).
Cloud Operations & Observability: Understand and regularly interact with each cloud provider's native monitoring, logging, dashboards, and observability tools, alongside infrastructure monitoring tools (e.g., Grafana, Prometheus).