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Lenovo Digital Trust Lab seeks a Security 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 enables cutting-edge AI security research by providing scalable, cloud-native infrastructure, secure 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 controlswhile ensuring that the underlying systems are secure, reliable, and production-ready.

You will play a hands-on role in developing cloud 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, dataset validation tools, adversarial testing frameworks).
• Develop scalable cloud 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.
  
  

Minimum Requirements

• Proven experience in developing and delivering cybersecurity products or platforms.
• B.Sc. or M.Sc. in Computer Science or related technical field.
• 5+ years of software development experience (Python, Go, or similar) with a focus on building developer-facing tools or platforms.
• Proven expertise in cloud platforms (AWS, Azure, or GCP) and their security services.
• Experience with data pipelines (Kafka, Spark, Airflow) and databases (SQL/NoSQL).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Excellent problem-solving and collaboration skills, with the ability to support multiple research teams simultaneously.
  
  

Preferred Requirements

• Experience with AI/ML pipelines and MLOps frameworks (Kubeflow, MLflow, SageMaker, Databricks).
• Hands-on work with infrastructure-as-code (Terraform, Helm, Ansible).
• Prior experience enabling RD/research teams with tooling or platform development.
  
  

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
  
  

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.