The Software Assurance Group is seeking an exceptional engineer to assume the role of Principal Cloud Engineer, with a critical focus on supporting the Machine Learning Engineering team. In this role, you will collaborate closely with ML engineers to design and implement the architecture for advanced network and platform tools that directly enhance the security, observability, and scalability of large-scale, global AI systems. We are developing robust security and quality tools that deliver automated assurance, enable continuous compliance, and provide integrated protection for AI-driven solutions deployed in production.
You will take a hands-on technical leadership role in designing, building, and guiding a team responsible for developing cloud-native services tailored to the unique operational and security needs of machine learning environments. This includes solutions for secure transport and processing of ML artifacts (such as models, intermediate code, and SBOMs), scalable data collection and telemetry pipelines for real-time monitoring, and orchestration frameworks to efficiently manage infrastructure resources supporting dynamic ML workloads. Working across multi-tenant, global deployments, your architecture will ensure the team can monitor, secure, and optimize thousands of ML-powered applications in parallel, while maintaining strict adherence to compliance and privacy requirements.