Nvidia Senior Software Engineer - Full Stack 

India, Maharashtra, Pune 

434722980

What you'll 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.

• Together, we evaluate new CSP and third-party security offerings, prototype custom solutions aligned with NVIDIA’s global standards, and continuously supervise environment posture through industry standard benchmarks, logging, and alerting.

• 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 implementingInfrastructure-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.

• Demonstrated 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.