• Monitor, operate, and support production AI infrastructure platforms. • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents. • Support NVIDIA GPU infrastructure and associated platform services. • Monitor and troubleshoot Kubernetes-based environments. • Investigate performance, availability, and reliability issues across infrastructure and platform components. • Collaborate with engineering teams, hardware vendors, datacenter personnel, and service delivery teams to resolve technical issues. • Participate in incident response, root cause analysis, and operational improvement activities. • Contribute to improvements in monitoring, observability, automation, and operational processes. • Maintain operational documentation, runbooks, and knowledge articles.

• Define and drive the technical strategy for machine learning infrastructure capabilities • Design a highly resilient, secure, observable, scalable, and cost-effective infrastructure • Build and evolve APIs, tools, workflows, and self-service features

• Design and implement the scalable, secure, cloud-native infrastructure framework supporting WHDH’s data platform. • Develop and maintain automated, elastic environments capable of ingesting, harmonizing, storing, and delivering massive structured and unstructured health datasets. • Build and manage secure, automated CI/CD pipelines for data engineering workflows, application code, and infrastructure deployments. • Establish best practices for DevSecOps, including automated vulnerability scanning, secret management, and compliance-as-code.

• Contribute along with product and platform teams to build and deliver solutions that improve our cloud service, infrastructure, and tools. • Solve infrastructure problems with a software-driven, cloud first approach and a keen eye towards quality, testability, and repeatability. • Engage with teams directly to implement product roadmaps and objectives with a focus on service delivery and reliability. • Contribute to the development of best practices and engineering standards within the team. • Help Identify and drive down toil with creative innovation and automation. • Build and deliver elegant and high-quality software with a knack for testing. • This position will require stand-by, on-call, or off-hours duties.