• Provide technical leadership to members of the Product API team, including input on system architecture and design tradeoffs, as well as coaching other members of the team and mentoring new hires. • Collaborate with product and client engineering teams to design and deliver GraphQL APIs that enable rich, performant user experiences while maintaining clean separation of concerns and optimal client-server interactions. • Own and evolve critical product subsystems including recommendations, catalog, search, in-app notifications, user preferences, viewing history, collections, experiments, and feature flags. • Build and maintain proxy and augmentation layers that integrate domain services from across the organization (such as video infrastructure, recommendations systems, and search) into a cohesive, unified API. • Drive continuous improvements to the reliability, performance, scalability, and maintainability of Philo's product API infrastructure, ensuring sub-second response times and high availability across all endpoints. • Collaborate with data science and product analytics teams to instrument the API layer for experimentation, A/B testing, and feature rollouts, enabling data-driven product decisions. • Build and enhance observability tools to proactively monitor API performance, identify bottlenecks, debug issues, and ensure optimal cache utilization across the system. • Work with infrastructure teams to optimize database queries, implement effective caching strategies, and ensure DataServer scales efficiently as Philo's user base grows.

• Translate product requirements into robust technical solutions, recommend alternative approaches, and lead engineering efforts to meet ambitious targets • Design and implement reliable systems and applications in a fully distributed micro-services architecture • Build and maintain integrations with 3rd-party vendors and partners • Design and implement highly available RESTful APIs supporting user-facing web and mobile applications • Focus on creating reusable code and libraries that ensure scalability for future projects • Enforce observability best practices, leveraging tools like logging, metrics, and alerting systems • Create and maintain detailed technical documentation (architecture designs, APIs, workflows, and system configurations) • Continuously monitor systems for opportunities to maximize performance and scalability

• Troubleshoot and resolve bugs and performance issues • Review and improve existing Python/Django code • Handle database transitions with minimal downtime • Deploy updates to AWS EC2 • Maintain code quality through testing & documentation • Optimize APIs for performance and scalability • Work with Git/GitHub for version control and PR reviews

• Design and implement large-scale, highly available backend microservices that serve millions of concurrent players. Aim for zero downtime. • Monitor system health and quickly respond to any failures or glitches to deliver a smooth online experience to players worldwide. • Improve quality through code reviews, expanded test coverage, technical post-mortems, improved documentation. • Encourage collaboration and domain knowledge sharing; reducing bus factor is a feature. • Work and iterate very closely with members of our (distributed, remote) Gameplay, Engine, and Ops teams. • Design testable, flexible features & systems that can withstand frequent changes to functional and performance requirements (this is a live game with a lot of new content, nothing is static!) • Deliver! More specifically, strike a deliberate balance between speed and quality.