דרושים » אבטחת איכות QA » Infrastructure Team Leader

We are looking for a Quality Automation Team Lead to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are looking for a talented, "hands-on" QA Manager to join us, specializing in the areas of Storage, Clustering, Networking and System-integration.
Key Responsibilities
Lead a team responsible for Test Automation Development, design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.
This position also requires hands-on work.

We are seeking a hands-on Director of Tech Ops to own and evolve our backend platforms, data infrastructure, DevOps, security, and internal IT operations.
This role is foundational to our ability to securely build, train, validate, and operate state-of-the-art autonomous driving systems at scale. The ideal candidate brings deep experience in operating secure, production-grade infrastructure in a data-intensive AI environment, while also leading and growing high-performing teams.
Responsibilities
Own backend infrastructure, DevOps, security, and internal IT operations end-to-end
Design, build, and operate scalable cloud and on-prem infrastructure supporting large-scale AI training, validation, and data pipelines
Lead the architecture and operation of systems handling massive volumes of visual and multimodal data
Establish and continuously improve DevOps practices, including CI/CD, monitoring, alerting, reliability, security, and cost optimization
Define, implement, and enforce infrastructure and data security standards, policies, and controls
Lead security compliance efforts, including implementation and successful audits of frameworks such as ISO 27001 and similar standards
Manage corporate IT systems, access control, networking, endpoints, and external vendors
Partner closely with AI, algorithm, and R&D teams to support ML workflows and evolving compute and data needs
Drive selection, adoption, and integration of cloud platforms, databases, DevOps tools, and third-party services
Define best practices for scalability, availability, resilience, and security across the organization
Lead, mentor, and scale backend, DevOps, security, and IT teams.