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DevOps Engineer - AI Security Team

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Onsite

DevOps Engineer - AI Security Team

Lenovo

DevOps Engineer - AI Security Team

Skills

RustKotlinDockerPythonGolangDevOpsRPostgreSQLGitLabGrafanaMachine LearningAIAnsiblePrometheusLinuxKubernetesSupply ChainTerraform

7 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

12 October 2026

What they need


General Information

Req #

WD00106668

Career area:

Hardware Engineering

Country/Region:

Israel

State:

Tel Aviv District

City:

Tel Aviv-Yafo

Date:

Monday, October 12, 2026

Working time:

Full-time

Additional Locations:

  • Israel

Why Work at Lenovo

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 #153 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.

Description and Requirements

Candidate must be willing to work onsite three days a week in our Tel-Aviv, Israel office.

Lenovo Digital Trust Lab (DTL) is seeking a hands-on DevOps Engineer to design, build, and operate the infrastructure behind our research and production platforms. DTL is a research-driven group developing the technologies that keep Lenovo's products, platforms, and AI ecosystem secure and trustworthy, spanning security research, AI and ML security, trust infrastructure, and platform engineering.

You will work closely with security researchers, ML engineers, and software developers to take ideas from prototype to production, building systems that are secure, reliable, and scalable by design. The ideal candidate takes ownership sees a need, shapes the solution, and carries it all the way to production.

Job Responsibilities:

  • Own infrastructure initiatives end-to-end, from design through implementation and production rollout

  • Build and operate reliable on-prem infrastructure, including environments without internet access

  • Build and maintain CI/CD pipelines for multi-language codebases, including security scanning, SBOM generation, and release management

  • Manage container orchestration and workload scheduling across the lab's platforms

  • Operate core platform services such as secrets management, service discovery, object storage and databases

  • Build and support infrastructure for ML and AI workloads, including model training, evaluation, serving, and GPU resources

  • Automate provisioning and configuration using infrastructure-as-code

  • Drive observability, monitoring, and alerting, and troubleshoot issues across application, infrastructure, networking, and OS layers

Partner with researchers and engineers to translate complex requirements into robust, maintainable systems

Minimum Requirements:

  • 3+ years of experience in DevOps, platform engineering, SRE, or infrastructure roles

  • Strong Linux and networking fundamentals

  • Hands-on experience with Docker and at least one orchestration platform (Docker Swarm, Nomad, or Kubernetes)

  • Experience building and maintaining CI/CD pipelines (e.g., GitLab CI)

  • Proficiency in scripting or programming (Python, Bash, or Go)

  • Experience with infrastructure-as-code and configuration management (e.g., Ansible, Terraform)

  • Experience operating production services, including databases (e.g., PostgreSQL), monitoring (e.g., Prometheus, Grafana), and incident troubleshooting

  • Strong ownership, independence, and communication skills

B.Sc. in Computer Science or Engineering

Preferred Requirements

Experience in one or more of the following areas is a strong plus:

  • Experience with the HashiCorp stack (Vault, Consul, Nomad)

  • Experience with MLOps or AI infrastructure (model serving, GPU workloads, experiment tracking)

  • Background in security, DevSecOps, or supply-chain security (SBOM, SCA, artifact signing)

  • Experience with on-prem infrastructure

  • Experience in a research-oriented or fast-paced R&D environment

  • Interest in AI security

  • Familiarity with Rust or Kotlin build ecosystems

What Lenovo Can Offer You:

  • Opportunities for career advancement and personal growth
  • Access to a diverse range of training programs to sharpen your skills
  • Performance-based rewards that celebrate your achievements
  • Enjoy the best of both worlds with our hybrid setup: 3 days connecting with the team in the office and 2 days working from the comfort of your home

Please note that the office is located 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 3 times a week.

#DTL

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.

Additional Locations:

  • Israel

  • Israel

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.

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