• Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management • Develop intuitive management UIs for both cloud-based workflows and local hardware deployment • Architect backend services that bridge cloud (AWS) and on-premises AI compute environments • Design low-latency database schemas covering job tracking, results storage, audit logging, and device management • Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware • Implement end-to-end observability (telemetry, logging, alerting) across distributed environments • Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows • Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2) • Partner closely with ML Engineering and Research teams to bring models into production • Contribute to design reviews, architecture discussions, and incident response rotations • Produce technical documentation for API specs, deployment guides, and regulatory submissions

• Shape the technical roadmap and architecture for enterprise-grade Digital Menu Board solutions used by massive, global QSR brands. • Guide, mentor, and technically manage an agile team of talented engineers, fostering a culture of continuous improvement. • Architect and scale platforms using TypeScript, NestJS, Express, Angular/React/Svelte, and cloud-native infrastructure. • Lead internationalization initiatives and travel occasionally to collaborate with global stakeholders and clients. • Conduct code reviews, establish best practices, and unblock technical hurdles. • Define, document, and enforce technical standards, coding guidelines, and architectural patterns across the organization. • Own and execute the i18n strategy to ensure the platform seamlessly adapts to diverse regional, language, and localization requirements. • Partner closely with DevOps, Product Management, and executive stakeholders to align technical roadmaps with business objectives. • Support cloud infrastructure deployments and platform scalability initiatives in partnership with DevOps teams. • Identify and remediate architectural bottlenecks to improve system performance, security, and maintainability.

• Translating application storyboards and use cases into functional applications; • Designing, building, and maintaining efficient, reusable, and reliable C# code; • Ensuring the best possible performance, quality, and responsiveness of applications; • Identifying bottlenecks and bugs, and devising solutions to these problems; and • Maintaining code quality, organisation, and automatisation.

• Lead multiple initiatives end-to-end — from early refinement through to production deployment — owning reliability, performance, and long-term maintainability • Contribute to architectural decisions that shape the future of the platform, representing the team in cross-team design discussions and architecture forums • Drive technical excellence: set the standard for code quality, test coverage, and engineering best practices across the team • Actively care about the product and its users — contributing to improvement beyond code implementation • Collaborate cross-functionally with Product, UX, and other engineering teams, representing the team's technical perspective and influencing delivery outcomes • Be a key player in the team's strategy, with significant influence on project outcomes and the team's ability to move fast and deliver value • Mentor and coach less experienced engineers through pairing, code reviews, and knowledge-sharing sessions • Contribute to the team's engineering culture — participating in working groups, hackathons, and community initiatives across the wider VCC engineering organization