• Act as the senior escalation point for complex endpoint and workplace technology issues • Provide technical guidance to the Service Desk team • Support and optimize modern IT environments, including device management, cloud solutions, endpoint security, and collaboration tools • Ensure high-quality service delivery • Collaborate with stakeholders and service providers to drive continuous improvement • Ensure compliance with Service Level Agreements with our IT service providers • Proactively reduce and resolve technical incidents in restaurants through 3rd level incident management • Analyze incidents and reports to identify opportunities for improvement • Work closely with our franchisees and internal stakeholders to provide optimal support to our restaurants • Identify problems, risks, or conflicts and ensure efficient troubleshooting • Define success criteria for identified gates and determining how project success should be measured • Provide comprehensive status updates tailored to different purposes and stakeholder needs

• Design, develop, and maintain modern, responsive, and accessible web applications, including self-service portals, administration dashboards, internal tools, and business-critical platforms. • Build and enhance frontend solutions using Angular and TypeScript while ensuring high standards of usability, performance, and maintainability. • Develop and maintain backend services and middleware layers using Node.js, enabling seamless integration between frontend applications and backend APIs. • Define and implement Backend-for-Frontend (BFF) solutions that manage authentication, authorization, session handling, and communication with backend services. • Collaborate with backend engineers on API design, integration strategies, and technical reviews to ensure scalable and reliable solutions. • Contribute to solution architecture by defining scalable three-tier application designs and promoting best practices across frontend, middleware, and backend layers. • Participate in cloud architecture discussions and support the implementation of solutions on Google Cloud Platform. • Establish and promote frontend engineering best practices, including testing strategies, reusable component development, linting, and code quality standards. • Perform code reviews, troubleshoot complex issues, and continuously improve application performance, reliability, and user experience. • Create and maintain technical documentation, architectural diagrams, and implementation guidelines. • Collaborate with cross-functional teams to deliver high-quality solutions aligned with business and technical objectives. • Explore and adopt emerging technologies, including AI-powered capabilities and development tools, to improve product quality and engineering efficiency.

• Design, develop, and deliver full-stack features using Node.js and React; • Own the full development lifecycle, from requirements gathering to deployment and production support; • Build and maintain frontend applications using React, Redux, and Redux Toolkit; • Develop scalable backend services and REST APIs with Node.js (latest LTS) and Express.js; • Work with PostgreSQL (pg-promise) and Redis for data storage, caching, and performance optimization; • Contribute to software architecture, ensuring scalable and maintainable solutions; • Participate in code reviews, Agile ceremonies, and cross-team collaboration; • Ensure code quality through testing, debugging, and adherence to engineering best practices.

• Lead the design, development, and deployment of the Generic Data API Platform — a reusable Terraform module and Lambda-based pipeline that enables rapid onboarding of new data source APIs across different programs without custom infrastructure builds per dataset. • Complete and deliver remaining platform phases: implement generalized data validation logic; work with data source teams to implement and configure endpoint querying logic; implement API capability discovery endpoints; conduct end-to-end integration testing across platform components; lead security review and performance validation; and drive the initial dataset API to production go-live. • Implement OAuth 2.0 machine-to-machine authentication via AWS Cognito, ensuring that external consumers can authenticate against the platform with appropriate scope enforcement and usage-tier access controls. • Champion the API platform internally — serve as the primary point of contact for partner data teams seeking to onboard new datasets, define the onboarding contract, and guide teams through the configuration and deployment process • Develop and maintain operational runbooks, FHIR API documentation, and data team onboarding guides that enable partner teams to self-serve troubleshooting and data refreshes without requiring infrastructure team involvement. • Own platform SLOs: API availability > 99.9%, error rate < 0.1%, and p95 response time < 500 ms. • Define CloudWatch alarm thresholds appropriate to catch degradation before SLOs are breached, not after. • Lead the API migration to the generic platform (Phase 2), validating that the module generalizes and establishes shared operational patterns across multiple concurrent datasets. • Coordinate across teams to advance platform delivery: work with partner data teams on data delivery contracts, timelines, and search parameter definitions; engage CloudOps on security reviews and network security configuration changes; align with solutions architects on platform generalization and multi-dataset scale decisions; and involve data strategists when new data sharing agreements are required for a partner onboarding. • Enforce defense-in-depth security controls across all platform deployments: network-layer threat protection, encryption at rest and in transit, identity and access management, API key lifecycle management, and long-term audit log retention. • Monitor and optimize cloud infrastructure costs across platform deployments, leveraging serverless billing models, data lifecycle policies, and right-sized compute configurations to keep per-dataset costs sub-linear as the platform scales to 10 or more concurrent datasets. • Contribute to and maintain cloud infrastructure Terraform across infrastructure and application repositories, including importing manually managed cloud resources, refactoring existing modules, and applying community best practices.