Senior Full Stack Developer

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Please note that the team has moved to a new location. The office is now at 121 Menachem Begin Road, Tel Aviv, 61st floor, in the POINT office complex. As per our office policy, you will be required to visit the site at least three times a week.

Lenovo Digital Trust Lab seeks a hands-on and innovative Senior Full Stack Developer to join our cutting-edge research team. This role will directly support our Hybrid AI initiative as well as our Device, Infrastructure, and Services security programs, focusing on advancing security, privacy, and trust through innovative research and applied AI.

You will work across disciplines and play a key role in building the next-generation AI Security platform using effective, AI-driven defenses, translating theoretical ideas into practical, real-world impact.

Job Responsibilities

• Design, implement, and maintain a robust AI Security Platform to protect AI/ML assets, data, and pipelines.
• Own the platform architecture for the AI Security console: front end UI/UX, backend services, data stores, queues, and APIs that manage policies, detections, cases, and responses.
• Build agent communication services (REST/gRPC/WebSockets) for telemetry ingestion, policy distribution, health/status, and remote actions and versioning.
• Develop a secure, configurable policy engine for per tenant, per device.
• Implement the AI web assistant (LLM powered) for operator guidance, query of platform data, run books, and explain this alert.
• Ensure high scale, high throughput operation: efficient data models, caching.
• Build user, roles tenant management (RBAC), licensing entitlements, audit logging, and integrations with SSO/IdPs.
• Establish secure by design patterns: threat modeling, least privilege, secrets management, encrypted data in transit/at rest, and comprehensive input validation.
• Create developer productivity foundations: CI/CD pipelines, automated testing (unit/integration/e2e), feature flags, and clear operational run books.
  
  

• BSc in Computer Science, Electrical/Computer Engineering, or equivalent practical experience.
• 7+ years professional experience as a full stack engineer, delivering production grade cloud applications end to end.
• Hands on frontend development (modern SPA frameworke.g., React/Angular/Vue).
• Hands on backend development (one or more of: TypeScript/Node.js, Python, Go, or Java) building microservices and public/internal REST/gRPC APIs.
• Experience operating large scale systems, caching, indexing processing millions of requests per day.
• Practical experience integrating an LLM for a web assistant or workflow automation (prompt design, grounding/RAG basics, guardrails, monitoring).
• Proficiency with datastores (SQL and NoSQL), messaging/streaming (e.g., Kafka/Event Hubs/Queues), and observability (metrics, logs, tracing).
• Familiarity with networking security fundamentals: HTTP, TLS, OAuth/OIDC, API keys, secrets management, and least privilege access.
  
  

• Prior experience building a security product (SOC platform, EDR/EPP backend, SIEM, SOAR, DLP, or similar).
• Knowledge of data governance and privacy controls (redaction/pseudonymization, data retention policies).
• Strong Cloud background (Azure/AWS/GCP), containers (Docker), and orchestration (Kubernetes or equivalent).
  
  

• Opportunities for career advancement and personal development
• Access to a diverse range of training programs
• Performance-based rewards that celebrate your achievements
• Flexibility with a hybrid work model (3:2)