Lead DevOps Engineer

Role overview Lead the design, operation, security, and cost management of infrastructure for a growing AI-powered learning product. This is a hands-on leadership role spanning cloud systems, company-wide access, model hosting, and developer workflows. You’ll work across technical and non-technical teams to make infrastructure dependable and make safe, efficient delivery easier.

Responsibilities - Design, build, and operate AWS infrastructure, taking ownership of reliability and incident resolution. - Manage identity and access across cloud accounts, vendors, internal tools, and employee onboarding and offboarding. - Own infrastructure security, including identity policies, networks, secrets, and audit logs, and support technical compliance work. - Track and control costs across cloud services and AI vendors. - Operate hosting and inference infrastructure for machine learning and language models. - Replace repeated manual operations with automation and self-service tools. - Improve code review, monitoring, incident investigation, and alert handling with AI-supported workflows. - Provide reusable service templates, delivery pipelines, safe deployment patterns, and alerts for engineering teams.

Requirements - Strong production experience with AWS, including container workloads on ECS. - Terraform experience as a regular infrastructure management tool. - Sound security fundamentals and a genuine interest in infrastructure security. - Experience building tools with AI coding agents and using AI in daily work. - Ability to influence how other teams work without direct authority over them. - Experience setting technical direction and breaking large projects into deliverable stages. - Independent ownership and comfort working asynchronously in a distributed, written-first environment.

Nice to have - DevSecOps experience and knowledge of common attack methods. - Hands-on work with SOC 2, ISO 27001, or GDPR requirements. - Experience with additional cloud providers or infrastructure for ML and LLM inference. - Background at an early-stage or high-growth consumer product company.

Benefits and work setup Fully remote, based in Dubai or Eastern Europe. Benefits include stock options, 26 days of annual leave plus public holidays, health and wellness coverage, access to AI productivity tools, and a yearly learning budget. There is scope for the role to grow into broader platform leadership.