DevOps AI Security Lab Platform Engineer

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.

The Digital Trust Lab is building a cutting-edge AI Security Research Lab that will be the key enabler for our research programs across Device, Infrastructure, and Services. This lab will be the focal point where we design, test, and evaluate research to protect against AI security threats, translating ideas into repeatable, production-grade evaluation and hardening workflows.

We are seeking a hands-on Security Lab Platform Engineer to research, design, and develop the lab end-to-end on a proprietary cloud environment. You will stand up and orchestrate virtual machines, containers, microservices, middleware (queues, databases), and the Python control plane that ties everything together, at scale.

Job Responsibilities

• Own the platform: Design, build, and evolve an AI Security Research Lab on a proprietary cloud.
• Provision orchestrate compute: Automate creation of VMs, containers, and Kubernetes clusters.
• Microservices middleware: Deploy and manage message queues (RabbitMQ/Kafka), databases (SQL/NoSQL), object storage, caches.
• Python control plane: Develop Python services, job runners, and orchestration libraries that drive experiments, schedule test runs, collect telemetry, and expose APIs/CLIs.
• CI/CD environment automation: Build pipelines (build/test/release) for platform components and experiment packs; enable reproducible environments and infra blueprints.
• Research enablement: Partner with security researchers to define attack/defense test cases.
• Scale reliability: Design for high test throughput, quota and cost controls, and automated cleanup.
  
  

• 4+ years in DevOps/Platform/SRE roles owning production services.
• 4+ years of software development in Python, including building distributed services, CLIs/SDKs, and API backends (e.g., FastAPI/Flask).
• Proven experience with Terraform.
• Hands-on experience with containers (Docker) and Kubernetes.
• Practical knowledge of queues/streaming (RabbitMQ and/or Kafka) and microservices patterns (event-driven workflows).
• Experience deploying and operating databases (SQL/NoSQL).
• Solid understanding of networking fundamentals (DNS, TLS, routing).
• Experience with Git, CI/CD, and automated testing for infra/app code.
• Ability to work independently, move from research design implementation, and deliver in a fast-paced environment.
  
  

• Security: Experience developing security products or core components of security product.
• Monitoring/Observability: Prometheus, Grafana, ELK/EFK.
• ETL/ELT Data Pipelines: Airflow/Prefect, Nifi.
• Performance/Scalability: Load testing, capacity planning, cost optimization.
  
  

• 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)