• Contribute to key architectural decisions and support a large scale re-imagining of our Site Generation and Site Builder Experience • Design and build cloud-native APIs, services, and front-end experiences used across our platform to support building Websites • Collaborate with cross-functional teams to deliver AI-powered workflows to Site Building experiences • Write clean, testable, scalable code across the stack

• Design architectural patterns that ensure high availability and fault tolerance of the product. • Rapidly iterate on prototypes using user feedback and analytics to refine the user experience in collaboration with design and product teams. • Implement features and optimizations in the product that are specifically aimed at fostering growth. • Coordinate with cross-functional teams to ensure alignment on product development objectives. • Mentor junior engineers on best coding practices and lead by writing clean, maintainable code. • Analyze and enhance code efficiency to boost system performance.

• Own the end-to-end delivery of data across Market Research, Market Surveys, and Daylight Revenue, aligning technical priorities with product goals. • Design and evolve our ingestion pipelines, processing data for 10M+ multifamily units through XML/JSON feeds, web scraping, warehouse transformations, and API exposure. • Define what accuracy, completeness, and timeliness mean for our datasets, ensuring all requirements meet the specific needs of each product line. • Work closely with Product and Application Engineering to ensure new datasets unlock measurable features and actionable customer insights. • Build strong observability into our systems, including daily monitoring, anomaly detection, and automated alerts to maintain ingest health. • Lead the delivery of data milestones by defining goals, tracking progress in Linear, and communicating outcomes to stakeholders. • Stay current with data and AI tooling to help the team work more efficiently and integrate new technologies where they add value. • Foster a culture of continuous improvement by maintaining clear documentation and mentoring others on data best practices.

• Design and implement backend systems that abstract infrastructure concerns and enable self-service capabilities, focused on integration inside of Kubernetes • Develop and support internal tools, APIs, and automation frameworks used by infrastructure and application teams • Implement enhancements to CI/CD pipelines using GitLab, focusing on security, repeatability, and observability • Write clean, testable, and well-documented code that serves as an example for the team • Contribute to backend architectures and patterns that scale across infrastructure domains • Create design documents, system diagrams, and proof-of-concepts for your projects • Leverage Kubernetes and infrastructure-as-code tools to deliver reusable software components and automation services • Collaborate with Principal Engineers on architectural decisions and implementation approaches • Partner with team leads to deliver on platform modernization initiatives • Share knowledge and best practices with team members • Provide technical guidance to junior engineers and participate in code reviews