Senior Software Engineer - Full Stack
Actively Reviewing the ApplicationsNVIDIA
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 11 hours ago
•
Apply by June 6, 2026
Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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 You'll Be Doing
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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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 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.
- 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.
- 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.
- 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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
, , JR2013762
Required Skills
Communication
Engineering
Leadership
JavaScript
Prioritization
Automation
Compliance
Monitoring
Python
Risk Analysis
Cloud Platforms
Angular
AWS
API Development
TypeScript
CSS
Spring Boot
Prometheus
Grafana
Vulnerability Assessment
IAM
Spark
Kafka
Cloud Architecture
REST API
Computer Graphics
HTML5
Azure
SAML
Databricks
Datadog
React
Spring
Design patterns
Analytics
Product Engineering
Risk
Gaming
Orchestration
Threat Intelligence
Business Context
Data processing
Data ingestion
RBAC
Remediation
NVIDIA
EKS
REST API Development
Ingestion
OCI
Public cloud
Delta
Cloud Service
Security services
Vulnerability
GPU
Cloud environments
SSO
Detection
Security controls
Telemetry
OKE
Event streaming
GKE
K8S
Java
Data enrichment
Cloud Infrastructure
Protocols
Observability
Identity management
Batch
Exposures
Threat
Computing
UI and
Data Processing and Analytics
Computer Science
AKS
Authorization
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