Advisory Software Engineer

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

Lenovo is a US$83 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, including front-end UI/UX, backend services, data stores, queues, and APIs managing policies, detections, cases, and responses
• Build agent communication services (REST/gRPC/WebSockets) for telemetry ingestion, policy distribution, health/status, remote actions, and versioning
• Develop a secure, configurable policy engine (per tenant, per device) and implement the AI web assistant (LLM-powered) for operator guidance, platform queries, run books, and alert explanations
• Ensure high-scale, high-throughput operation with efficient data models, caching, and indexing
• Build user, roles, and tenant management (RBAC), licensing and entitlements, audit logging, and integrations with SSO/IdPs
• Establish secure-by-design patterns, including threat modeling, least privilege, secrets management, encryption (in transit/at rest), and input validation
• Create developer productivity foundations such as CI/CD pipelines, automated testing (unit/integration/e2e), feature flags, and operational run books
• Ensure overall platform reliability, scalability, and secure integration of all components
  
  

• BSc in Computer Science, Electrical/Computer Engineering, or equivalent practical experience
• 7+ years of professional experience as a full stack engineer delivering production-grade cloud applications end to end
• Hands-on experience in frontend (modern SPA frameworks such as React/Angular/Vue) and backend development (TypeScript/Node.js, Python, Go, or Java), building microservices and REST/gRPC APIs
• Experience operating large-scale systems with high throughput, including caching, indexing, and processing millions of requests per day
• Practical experience integrating LLMs into web assistants or workflows (prompt design, RAG basics, guardrails, monitoring), along with strong fundamentals in networking and security (HTTP, TLS, OAuth/OIDC, API keys, secrets, least privilege)
  
  

• Prior experience building a security product (SOC platform, EDR/EPP backend, SIEM, SOAR, DLP, or similar) and knowledge of data governance and privacy controls (e.g., redaction, pseudonymization, data retention)
• Strong cloud background (Azure/AWS/GCP), including containers (Docker) and orchestration (Kubernetes or equivalent), and experience with observability, messaging/streaming, and data stores (SQL/NoSQL)
  
  

• Health Disability Insurance
• Pension/ Retirement Plan
• Meal Vouchers
• Employee Referral Bonus
• Children of Lenovo Employees Scholarship Program
• Lenovo and Motorola Product Discounts
• Employee Assistance Program, e.g., for health, legal financial consultancy
• Internal E-learning Development Platform Available for Employees