Architect, design, and deliver large-scale, high-performance features across the stack. Drive system-level design and data modeling, ensuring scalable, reliable, and maintainable solutions aligned with organizational best practices. Think expansively about AI—how to build with it, integrate it into features, and leverage it to drive innovation. Own technical projects end-to-end, ensuring efficient delivery, optimal performance, extensibility, and reliability. Lead and contribute operational engineering strategies, including test automation observability and modern CI/CD practices. Collaborate on cloud architecture decisions to deliver resilient, cost-effective, and secure solutions. Deliver high-quality, production-ready code that adheres to coding and operational best practices, accounts for edge cases, and is self-documenting for maintainability. Lead efforts to reduce technical debt and optimize system performance through continuous refactoring and advanced debugging practices. Drive improvements in system reliability, scalability, and performance, leveraging monitoring and observability tools to proactively identify bottlenecks and issues. Champion a culture of learning by facilitating design discussions, providing constructive feedback, and fostering collaboration across teams. Partner with product managers, designers, and cross-functional stakeholders to align technical efforts with business objectives and customer needs. Mentor engineers across skill levels, providing guidance in software patterns, architecture, DevOps, and problem-solving techniques to foster technical growth. Communicate complex technical topics clearly to both technical and non-technical audiences, ensuring alignment and shared understanding across teams. Promote knowledge sharing through technical documentation, share-outs, and peer collaboration to elevate team capabilities. Actively explore how AI can improve developer efficiency, automate workflows, and enhance system reliability. Explore and advocate for cutting-edge tools and technologies, incorporating them into the engineering stack when appropriate to advance capabilities. Lead initiatives to drive innovation and continuously improve engineering processes, challenging the status quo to deliver greater value. Contribute to system-wide architectural discussions to ensure alignment with strategic goals and future scalability.