• Drive end-to-end development of voice and chat AI systems • Build and evolve integrations with third-party AI platforms and internal Toast systems • Design and implement observability, monitoring, and outcome tracking for AI-powered support experiences • Make technical decisions grounded in production data • Partner closely with product, support operations, and AI/ML engineering teams • Contribute to technical design and architecture discussions • Mentor and support other engineers through code reviews and technical guidance

• End-to-end technical ownership of a high-revenue web platform and mobile app • Architecture design and long-term technical strategy • Server-side rendering pipeline using Node.js, Fastify 5, and React 19 • Data layer across MySQL and BigQuery • GCP infrastructure including Cloud Run, Cloud Build, and Global Load Balancer • Ad-tech integrations including Google Ad Manager, GTM, GTag, and GPT.js • Performance optimization at scale, where every millisecond counts • ML pipeline maintenance and optimization for ad-tech performance

• Serve as a key technical leader, responsible for driving the architectural vision, designing data-intensive applications, and leading the development of core SaaS platforms, API services, and frontends. • Architect, design, and drive the technical roadmap for large-scale, data-intensive SaaS applications. • Actively lead, mentor, and coach junior and mid-level engineers, fostering a culture of technical excellence and continuous learning. • Partner directly with Product, Design, and Business leadership to shape product strategy and translate complex business needs into scalable architectural designs. • Effectively scope, estimate, and provide architectural blueprints for massive, multi-quarter enterprise initiatives. • Lead the hands-on development of critical architectural components and complex projects. • Serve as the ultimate technical escalation point for critical incidents, leading complex root cause analysis and driving proactive problem management initiatives.

• Define and document system/application scope, requirements, and acceptance criteria in collaboration with architecture, engineering, and business stakeholders • Analyze functional and technical requirements to ensure completeness, testability, and alignment with business objectives • Design, build, and maintain scalable test automation frameworks and repositories with minimal supervision • Drive automation strategy, including framework design, tooling decisions, and adoption across teams • Identify and prioritize opportunities to replace manual testing with automated solutions • Develop, execute, and maintain manual and automated test cases for moderately complex, multi-platform applications • Ensure appropriate test coverage across functional, integration, and regression testing layers • Track, analyze, and communicate quality metrics, risks, and test results to stakeholders • Troubleshoot defects, perform root cause analysis, and partner with engineering teams to ensure timely resolution • Provide support for applications, including diagnosing and resolving system and performance issues • Act as a liaison between business and technical teams, communicating feasibility, risks, and status • Mentor junior engineers and promote best practices in quality engineering and automation