• Design, develop, test, and maintain scalable web applications • Build and maintain backend services using **Python** and **Node.js** • Develop responsive and high-performance frontend applications using **JavaScript** and **Next.js** • Work with modern frameworks and tools, including docker (or similar technologies) • Collaborate with cross-functional teams to define, design, and ship new features • Write clean, efficient, and well-documented code • Troubleshoot, debug, and optimize application performance

• Define and enable data architecture and engineering standards across Product Lines, ensuring consistent patterns for modeling, storage, access, governance, and responsible AI/ML usage. • Lead data-focused architecture reviews and technical governance for new products, platform initiatives, and AI/ML solutions, with particular emphasis on scalable, secure use of Snowflake and related cloud data services. • Own the reference architectures for enterprise data platforms, including Snowflake-based warehouses/lakehouses, streaming/real-time data, semantic models, and analytics/BI consumption patterns used across product teams. • Partner with Product, Engineering, Infrastructure, and Security to design data platforms that support analytics, reporting, operational workloads, and AI/ML use cases, ensuring clear data contracts and safe pathways for AI feature development. • Drive modernization of legacy schemas, ETL/ELT pipelines, and reporting stacks into scalable, cloud-native data and AI platforms with clear service and data domain boundaries, leveraging Snowflake and modern orchestration tooling where appropriate. • Define and promote patterns for data contracts, event-driven architecture, and CDC/streaming feeds that enable reliable, low-latency data sharing across systems and make high-quality data continuously available for AI/ML workloads. • Establish standards and best practices for data quality, lineage, observability, cataloging, and governance (including privacy, security, and compliance requirements) so AI/ML features are built on trustworthy, well-understood datasets. • Partner with AI and engineering teams to design data and feature platforms that power modern AI workloads (e.g., feature stores, vector search, retrieval-augmented generation, and model-serving integrations), including how these are realized on Snowflake and adjacent services. • Anticipate long-term risks in data growth, performance, reliability, and cost (including Snowflake usage and storage/compute patterns), and design solutions that prevent systemic issues across products and environments. • Mentor architects, principal engineers, and data engineers across teams, raising organizational maturity in data and AI architecture and accelerating adoption of shared patterns for Snowflake, data contracts, and AI/ML enablement. • Operate as a trusted technical advisor to executives and senior leaders, translating data and AI architecture decisions into clear business value, risk tradeoffs, and roadmap implications. • Represent the company in data and AI technical communities, helping position Restaurant365 as a leading data-driven and AI-enabled SaaS platform.

• Own and evolve the end-to-end architecture for core Platform services, including identity, permissions, workflow, integration, and shared domain capabilities. • Define clear service boundaries, contracts, and patterns that enable modularity, reusability, and safe change across the platform. • Shape and advance the platform’s marketplace and extensibility architecture, including API exposure patterns, eventing and webhook models, app/extension sandboxing, and partner integration approaches that allow third parties and internal teams to build safely on top of R365. • Lead platform-focused architecture reviews and technical governance, ensuring consistency with enterprise architecture and long-term strategy. • Partner with Product, Engineering, Infrastructure, and Security to embed platform-first and marketplace-ready thinking into roadmaps and execution plans, aligning platform investments with ecosystem and extensibility goals. • Drive modernization of legacy components into well-defined platform services and extension points, aligning teams on migration strategies, sequencing, and success criteria. • Establish and maintain reference architectures, patterns, and frameworks (including marketplace and integration blueprints) that product teams can adopt to build on the platform efficiently. • Anticipate platform-level risks (scalability, reliability, performance, security, data integrity, and ecosystem complexity) and design long-term solutions that prevent systemic issues. • Mentor architects and principal engineers across product lines, raising architectural maturity and promoting shared platform and marketplace patterns and practices. • Provide deep architectural guidance on complex cross-team initiatives, acting as a key decision-maker for platform and marketplace-related tradeoffs. • Represent the Platform architecture in cross-functional forums, translating technical direction—especially around extensibility and ecosystem growth—into clear business value and outcomes. • Contribute to external technical communities as a platform subject-matter expert, reinforcing R365’s position as a leading, extensible SaaS platform provider

• Collaborate with technology leaders and the product team to understand department goals and requirements, translating them into technical solutions. • Design, develop, and maintain high-quality Java applications and systems aligned with business objectives. • Lead the technical architecture and design of Java-based projects, ensuring scalability, performance, and maintainability. • Create scalable architecture systems for Java-based applications, considering future growth and evolving business needs. • Optimize application performance by identifying and addressing areas for improvement, such as code optimization, database query optimization, and resource utilization. • Troubleshoot design flaws and system bottlenecks to enhance application stability and performance. • Perform validation tests to ensure the flexibility and scalability of the Java environment, making necessary adjustments as needed. • Conduct comprehensive system performance tests to identify bottlenecks, assess system capacity, and fine-tune application performance. • Generate and present detailed systems reports, including performance metrics, bottlenecks, and recommendations for improvements. • Conduct code reviews and provide constructive feedback to maintain high standards of software development, ensuring code quality, readability, and adherence to best practices.