GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
October 28
🇺🇸 United States – Remote
💵 $180k - $339.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Java
Kubernetes
Microservices
Oracle
Python
Spring
Spring Boot
SpringBoot
Terraform
Go
.NET
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Take charge of building platforms for Code Signing strategy and roadmap. • Use expertise in cloud technologies, distributed systems, and security for code signing solutions. • Partner across multiple product engineering teams to enable code signing process. • Build secure cloud architecture using NVIDIA's private cloud and CSPs, such as AWS and Azure. • Define roadmaps, scope, plan, and execute projects effectively. • Design and build microservices in a containerized environment using RESTful APIs. • Solve application reliability, scalability, and usability challenges and manage multi-data center deployments.
• BS or MS in Computer Science Engineering or a related field of study (or equivalent experience). • 8+ years of experience in architecting, designing, and implementing software engineering solutions, particularly in product development. • Solid understanding of cryptographic algorithms, including hashing, signing, and certificate generation. • Familiarity with AuthN/AuthZ concepts and frameworks for securing production and corporate access, including SSO, SAML Federated Identity, RBAC, IAM policies, etc. • Solid understanding of either Java or .NET programming languages, with experience in relevant frameworks such as Spring and SpringBoot. • Proficiency in Python and Go programming is a plus. • In-depth knowledge of AWS cloud platform (or other CSPs), with experience architecting high-throughput services. • Hands-on experience with CI/CD pipelines and release management tools and end-to-end deployment using cloud services on AWS, including technologies like Kubernetes, Docker, Helm charts, etc. • Prior experience crafting Cryptographic and PKI software systems • Prior technical leadership of cryptographic signing infrastructure, platform or software systems • Experience with threat modeling using tools such as Microsoft Threat Modeling Tool. • Background with infrastructure and orchestration tools (Kubernetes, Terraform, GitOps, Swarm, Nomad, etc.) • Experience with Google Cloud Platform (GCP), Microsoft Azure, and Oracle Cloud Infrastructure (OCI).
• Eligible for equity and benefits
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