Teams at Motorway

Own and evolve AWS environments and shared platform infrastructure. Build self-service developer tooling, automate workflows, standardize infrastructure, and improve observability, monitoring, alerting, reliability, and continuous delivery. Support safe zero-downtime deployments, respond to production incidents through an on-call rotation, mentor engineers, and help product teams operate reliable services at scale.

Build and own production-grade generative AI applications and agentic workflows from prototype through deployment. Responsibilities include retrieval and data foundations, evaluation, monitoring, guardrails, model and cost decisions, software engineering, cloud deployment, and production reliability. The role also involves code reviews, technical decision-making with stakeholders, and establishing reusable engineering patterns for AI features used by vehicle sellers and dealers.

Lead the architecture and technical standards for production GenAI systems across Motorway. Build complex AI features and shared foundations including retrieval, evaluation, data pipelines, agentic workflows, and reliability tooling. Provide technical sign-off, solve difficult engineering problems, improve system cost and latency, mentor senior engineers, influence hiring and reviews, and communicate technical trade-offs to stakeholders.