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Leads engineering across multiple full-stack web, backend, and mobile squads within Trainline’s Customer Growth pillar. Manages Engineering Managers, develops talent, oversees complex delivery, guides technical strategy and architecture, and connects railcard, subscription, retention, and customer value domains. Partners with Product, Design, Data, and Commercial teams to drive business outcomes. Champions engineering quality, innovation, monitoring, alerting, incident management, operational excellence, and a high-performing, inclusive culture.

Build and improve Trainline's infrastructure platform using Terraform and AWS, automate tasks with Node.js/Python, apply secure-by-default principles, test and deploy via CI/CD, collaborate with platform and engineering stakeholders, and deliver reliable, maintainable infrastructure changes.

The Senior Backend Engineer will develop features, improve code quality, mentor others, and manage the development lifecycle while focusing on customer priorities and technical decisions.

Design, implement and improve Trainline's infrastructure platform using Terraform and AWS. Build automation and tooling in Node.js or Python, enforce secure-by-default cloud patterns, test and deploy via CI/CD, mentor mid-level engineers, collaborate across teams, and manage multi-account, multi-region, and enterprise-scale platform concerns to deliver reliable, scalable infrastructure.

Senior technical lead for Workplace Technology providing Tier 2/3 support, mentoring engineers, owning complex incidents, managing MacOS/Windows device estates (JAMF, Intune/Autopilot), Azure AD/M365 administration, AV/VC systems, security/compliance contributions, documentation, process improvement and runbook automation. Responsible for incident lifecycle, root cause analysis, access governance, asset/on-offboarding, and driving team standards.

Design, build and productionise machine learning models end-to-end within cross-functional teams. Lead architectural decisions, mentor engineers, create ML tooling and frameworks, and partner with stakeholders to deliver impactful data products at scale.