• Partner with infra and product teams to deeply understand use case requirements and define the technical vision for the Knowledge Graph. • Design, build, and scale the end-to-end (E2E) Travel Graph infrastructure, prioritizing a robust and easy-to-use platform for all consumers and producers of graph data. • Lead the large-scale data onboarding strategy, focusing on a user-friendly experience for ingesting diverse data sources (1st and 3rd party data, derived signals) via both batch and Near Real-Time (NRT) pipelines. • Ensure seamless, high-performance integration of the Knowledge Graph with a variety of downstream systems, including Search, Machine Learning, and Analytics. • Debug complex production issues and continuously improve system reliability, observability, and performance.

• Lead, mentor, and manage a team of backend/full-stack engineers. • Define and drive architecture for Ruby on Rails-based applications. • Own end-to-end delivery with predictable timelines and high quality. • Architect scalable, high-availability backend systems. • Partner with Product, Program, and Business stakeholders. • Ensure system stability and uptime with strong monitoring practices. • Drive adoption of Agile/Scrum best practices.

• Build and evolve critical experimentation and feature flag services • Design high-scale, low-latency services for experiment allocation and feature flag evaluation • Own reliability and performance • Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid • Shape data and integration surfaces

• Serve as the key technical architect across multiple client engagements, ensuring technical strategy aligns with business goals and measurable outcomes. • Lead architecture design across frontend, backend, and cloud layers, ensuring scalability, maintainability, and performance. • Contribute directly to implementation — writing production-grade code that demonstrates the standard of craftsmanship expected at Very. • Collaborate across disciplines (Hardware, Data Science, and Design) to deliver end-to-end connected and intelligent product ecosystems. • Partner with our commercial team as a solutions engineer, supporting pre-sales efforts, technical scoping, and estimation for Statements of Work. • Establish standards for coding, CI/CD, testing, and deployment that enable predictable, high-quality delivery. • Identify and mitigate architectural or delivery risks early through proactive technical leadership.