Senior Software Engineer Full Stack

We are seeking an experienced Senior Software Engineer - Full Stack who s excited to build Security Solutions at NVIDIA. Join us to secure the AI era! What youll be doing: Design and build unified security services for NVIDIA Security Platform, integrating detection, orchestration, and automated response capabilities. Partner with product engineering, security architecture, and cloud infrastructure teams to embed secure design patterns and automation across private, public, and emerging AI-native clouds. Build secure cloud architecture and implement full-stack solutions from backend APIs (Java/Spring Boot, Python) to observability portals, and security action workflows delivering reliability, scalability, and operational excellence. Foster process-as-code leadership to transform manual workflows into consumable, automated self-service subscriptions to reduce software vulnerability exposures. Design and operate data ingestion pipelines to bring in vulnerability, threat, asset, and ticket data from multiple internal and external sources at scale. Implement data enrichment workflows (e.g., threat intelligence tagging, asset and business context, ownership, SLA and CVSS mappings) to improve prioritization and decision-making. Optimize data processing and analytics jobs on platforms such as Databricks (Spark, Delta Lake) for batch and near real-time security compliance use cases. Build vulnerability assessment platforms to automate discovery, prioritization, and remediation workflows, employing AI models with dynamic risk analysis. What We Need to See: Bachelor s degree or equivalent experience in Computer Science, Engineering, or related field with 8+ years software development experience. Proven experience designing, developing, and deploying services on public or hybrid private-public cloud platforms (AWS, GCP, Azure, OCI). Proficiency in Java (Spring Boot) and Python, with a strong grasp of scalable REST API development. Experience building front-end applications using React / Angular, TypeScript/JavaScript, HTML5/CSS. Knowledge of connecting UI and API for secure, high-performing systems. Experience implementing Infrastructure-as-Code (IaC), securing containerised and K8S environments (EKS, AKS, GKE, OKE), and integrating monitoring and alerting systems (Grafana, Prometheus, Datadog, PagerDuty) for operational visibility. Proven understanding of authentication and authorization protocols (SSO, SAML, Federated Identity, RBAC, IAM policies) in multi-cloud environments to implement secure identity management practices. Proven ability to collaborate effectively across global engineering teams, driving secure production-grade solutions through clear communication and cross-functional teamwork. Ways to Stand Out from the Crowd: Bring experience with AI or ML pipelines, especially integration of automated or intelligent security controls using AI to improve detection, response, or compliance capabilities. Demonstrate hands-on work with security and asset platforms, event streaming (Kafka, Pub/Sub), or large-scale data ingestion and analytics (Databricks, Delta Lake). Show comfort operating across multiple cloud service providers and hybrid or private environments, applying sophisticated observability, telemetry, and alerting techniques to strengthen security at scale.