Security Infrastructure Developer

11 hours ago

Tel Aviv, Tel Aviv, Israel Lenovo Full time ₪1,200,000 - ₪2,400,000 per year

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 controls—while 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
    R&D/research teams
    with tooling or platform development.

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