• Lead and mentor engineering teams, fostering a culture of innovation and continuous learning. • Drive technical design decisions and contribute to code reviews, ensuring adherence to engineering best practices. • Oversee project delivery timelines, coordinating sprint planning and maintaining high-quality standards. • Facilitate cross-team collaboration to enhance knowledge sharing and alignment with broader company goals. • Empower team growth through regular feedback, career development planning, and performance coaching. • Communicate progress, challenges, and resource needs effectively to stakeholders and Directors of Engineering.

• Own technical architecture and implementation decisions for backend services and APIs within OCTO standards. • Drive XP engineering practices across the pod: pair programming, TDD, continuous integration, and collective code ownership. • Maintain delivery health, code quality, and production readiness as non-negotiable standards. • Collaborate as a peer with the UX and Infrastructure pod leads on cross-cutting architecture and integration. • Contribute to the engineering reuse catalog, designing services and APIs for use across multiple products and programs. • Manage, coach, and develop a team of senior engineers. This is a hands-on leadership role. You will write and review code regularly.

• Lead a team of engineers responsible for the design, delivery, and reliability of our data platform • Guide a squad of 10–15 engineers in building scalable, observable, and well-modeled data systems • Drive design and best practices, mentor engineers, and partner with Program Management for releases • Collaborate across Analytics, RevOps, Data Ops, and Product to solve business problems • Oversee implementation and optimisation of workflows in GCP (BigQuery, Cloud Composer, etc.) • Ensure scalable, modular pipeline design and adherence to strong data modeling principles

• Lead and grow a team of Database engineers responsible for MongoDB and PostgreSQL in production. • Own the operational excellence of our database layer, including availability, durability, performance, cost efficiency, and data residency. • Drive roadmap and strategy for multi-region architecture, backup and disaster recovery, indexing and schema governance, capacity planning, and infrastructure automation (Pulumi/Terraform). • Partner with Product Engineering to guide new access patterns, review high-impact launches for database risk, and establish guardrails that enable velocity without compromising reliability. • Improve reliability through proactive failure-mode detection, clear SLOs, actionable alerting, and high-quality incident response and retrospectives. • Build self-service tooling and paved roads for migrations, connection management, indexing, and query best practices. • Mentor and grow senior and staff engineers while contributing to broader infrastructure strategy across AWS, Kubernetes, and stateful systems architecture.