Staff Researcher, Security Infra developer

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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 is seeking a Infrastructure Developer to design and build the tools and platforms that empower our Hybrid AI Security and Device , Infrastructure and Services research teams. This role is dedicated to enabling cutting-edge AI security research by providing scalable infrastructure, data pipelines, and automation frameworks.

You will act as a force multiplier for researchers, developing the tooling they need to test, prototype, and validate AI security controls, while ensuring that the underlying systems are secure, reliable, and production-ready.

You will play a hands-on role in developing services, data pipelines, and monitoring systems that protect AI/ML assets at scale. As part of the Hybrid AI Security team, you will bridge the gap between applied research and production systems.

Job Responsibilities

• Build and maintain internal security tooling for research teams (e.g., red-teaming automation, data pipelines, etc).
• Develop scalable services and pipelines to support experimentation, prototyping, and model validation.
• Design secure data ingestion and processing flows while protecting sensitive datasets.
• Collaborate with researchers to translate prototypes into robust infrastructure components (monitoring, logging, dashboards, APIs).
• Integrate research tooling into CI/CD workflows to streamline testing and deployment.
• Evaluate and adapt emerging cloud and AI security technologies for internal use.
  
  

• 3+ years of hands-on software development experience (Python, Go, or similar), with a focus on backend systems, infrastructure, or internal tooling.
• Proven experience building and maintaining developer-facing tools, services, or automation frameworks.
• Strong understanding of secure software engineering principles and experience working on cybersecurity-related products, tooling, or infrastructure.
• Strong problem-solving skills and the ability to collaborate closely with research teams in a fast-moving environment.
  
  

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical field
• Expertise with cloud platforms (AWS, Azure, or GCP), including security and compute/storage services, and experience with infrastructure-as-code (Terraform, Helm, Ansible) and modern DevOps practices
• Hands-on experience with data engineering technologies (Kafka, Spark, Airflow), modern databases (SQL/NoSQL), and building monitoring/logging systems (Prometheus, Grafana, ELK, OpenTelemetry) or internal dashboards/APIs
• Experience with containerization and orchestration technologies (Docker, Kubernetes) and integrating them into scalable environments
• Familiarity with AI/ML infrastructure, MLOps tools, or model evaluation workflows (Kubeflow, MLflow, SageMaker, Databricks), including tooling for experimentation and validation
• Experience developing tooling for security research, red-team operations, adversarial AI testing, or prior work in a research-oriented (RD) environment
  
  

• What We Offer:
• 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