Principal Cloud Integration Architect

Cloud Integration Architect for Cloud Security will be working closely with the Cloud Solution PM’s. They will be working on solving the complexities of securing and running end to end solutions that integrate seamlessly on each cloud on Kubernetes based platforms. They will help define the security posture around building automation, defining API’s, connectors to deliver integrated workflows.  They will assist in network design, security requirement definition for all aspects of security in the cloud.  This type of hands on, real solution work will contribute to NVIDIA’s technology knowledgebase from the perspective of being the service provider that operates real life workloads. NVIDIA is the defining technology company of the Artificial Intelligence era. Our unique legacy of innovation is powered by extraordinary technology—and outstanding people. We are looking for a highly skilled and experienced Cloud Solutions Architect to join our team to lead the development of ML solutions built on NVIDIA's DGX Cloud platform, integrated seamlessly with major CSP ML, analytics and infrastructure offerings based on Kubernetes. The ideal candidate will possess in-depth knowledge and expertise in cloud security for at least 2 of the major tier one CSPs (AWS, Azure, GCP, or OCI) and have a deep understanding of Kubernetes. As a Cloud Security Architect, you will play a crucial role in designing and implementing innovative cloud solutions for our enterprise customers and platform partners.  This role requires a deep understanding of Kubernetes and securing associated connectivity and resources. Candidates must understand concepts around providing security boundaries in Kubernetes as well as secrets management.  

This role is with the NVIDIA DGX Cloud platform group. We are passionate about crafting end-to-end solutions that seamlessly integrate NVIDIA products with leading open-source projects and cloud solutions. As a Cloud Security Architect, you will define the security posture for enterprise ready products and services that let our customers build domain specific LLM’s with their own data on our full stack optimized NVIDIA accelerated compute platform. You need to thrive on building hands-on solutions with expertise in CSP’s Kubernetes, PaaS,  MLOps, LLM, RAG and other analytics platforms, technologies. You will work with strategic customers and internal partners to collect requirements and distill them into a clear cloud solution vision. 

What You'll Be Doing: 

• This is a deeply technical role. We want you to be creative in coming up with unique solutions that address gaps in delivering a seamless end to end cloud experience to help enterprises integrate ML and LLM technologies. 

• Help define solutions that migrate legacy security models to Kubernetes based platforms 

• Define the security posture for containerized workloads 

• Define security models for providing access to cloud services and APIs using token based authentication.  

• Ensure security controls are in place to support major certification and audit standards such as SOC2 and PCI 

• Ensure architectures and controls exist to securely provide cloud solutions to Enterprise Customers. 

• Support customer briefings and working sessions focused on security and architecture 

• Collaborate with corporate security teams and engineering teams throughout the product life cycle to ensure security posture is as designed and maintained  

• Architect, implement, and manage security solutions for cloud-based AL/ML workflow solutions and associated infrastructure. 

• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices for security. 

• Work with customers, product and engineering teams to understand key security challenges, technical objections, and develop the strategy to resolve technical blockers. 

• Work with solutions architects to support the technical relationship with customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption of NVIDIA's DGX Cloud solutions 

• Support Proof of Concept (PoC) exercises to validate proposed solutions and demonstrate feasibility to enterprise customers. 

• Assist in the develop comprehensive training materials and resources for field engineers to enable successful deployment and support of cloud solutions. 

What We Need To See: 

• Strong understanding of Kubernetes security 

• Demonstrated experience securing Kubernetes based workloads on CSPs 

• BS or MS in Computer Science, Electrical Engineering (or equivalent experience). 

• 10+ years of experience in software development, systems engineering, or relevant area. 

• 5+ years of experience in cloud security 

• Administration, solution architecture, technical product management experience. 

• Experience with cloud platforms and working in partnership to deliver SaaS products. Proven experience as a Cloud Solutions Architect or similar role, with a minimum of 3 years demonstrated ability in cloud computing. 

• Experience engaging with, and presenting to, technical stakeholders and executive leaders. 

• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. 

• Knowledge of Go-to-Market (GTM) co-selling strategies with Cloud Service Providers (CSPs). 

• Excellent problem-solving skills and the ability to come up with creative solutions to sophisticated technical challenges. 

• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and clients. 

Ways To Stand Out From The Crowd: 

• Extensive experience with at least 2 of the tier 1 CSPs (AWS, Azure, GCP, or OCI) , including proficiency in building integrations and deploying solutions on this platform. 

• Strong understanding of machine learning platforms, analytics platforms, and their integration with enterprise applications and data sources. 

• Experience in architecting, securing, and developing software or infrastructure for scalable, distributed systems. 

• Experience in data and information management as it relates to big data trends and issues within businesses. 

• Solid understanding of networking, security, and compliance requirements in cloud environments. 

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!