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 #LI-Hybrid
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
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