We are seeking a hands-on VP Tech Ops to own and evolve our backend platforms, data infrastructure, DevOps, security, and internal IT operations.

This role is foundational to Autobrains’ 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.

• 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

• 10+ years of experience in backend, infrastructure, DevOps, or platform engineering, including leadership roles
• Proven experience leading and managing backend, DevOps, security, and IT functions in a production environment
• Strong, hands-on background in data and infrastructure security, including implementing and passing ISO 27001 or comparable compliance frameworks
• Deep experience operating cloud platforms (AWS, GCP, or Azure) alongside hybrid or on-prem environments
• Hands-on expertise with Kubernetes, containerized systems, and infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation
• Solid experience with CI/CD pipelines, monitoring, incident management, and production operations
• Experience managing corporate IT environments, identity and access management, and third-party vendors
• Strong understanding of distributed systems, databases (SQL and NoSQL), and large-scale storage systems
• Experience supporting AI or ML workloads and highly data-intensive systems is a strong advantage
• Proven ability to balance hands-on execution with effective team leadership, ownership, and clear communication