• Collaborate with product engineering and internal teams which depend on Identity to implement their wide spanning use cases • Have a bias for action and deliver work of high quality. • Mentor more junior engineers on the team and be a partner to your EM in building a successful team. • Cultivate a collaborative and inclusive culture, championing team members and upholding our company values. • Ensure software and architecture excellence through quality feedback, risk mitigation, and alignment with technical strategy and business goals.

• Develop, enhance, and maintain GIS application components using C# .NET and ESRI v10.1 toolsets • Support system integrations related to Schneider Electric’s ADMS, including CIM import files • Collaborate closely with the GIS Applications Team Leader and broader GIS team on ongoing initiatives • Participate actively in daily standups, sprint planning sessions, and code reviews • Troubleshoot, debug, and resolve application issues in complex GIS environments • Provide weekly status reports outlining progress, risks, and dependencies • Contribute to documentation and promote best practices in GIS application development

• Design, build, deploy, and maintain highly resilient and scalable systems that are critical to the success of Data at Toast • Develop and execute technical strategies to solve complex business challenges, leveraging data-driven decisions to prioritize impactful changes. • Build and maintain strong partnerships across lines of business, aligning technical solutions with strategic objectives. • Mentor and guide engineers, fostering a culture of continuous improvement, inclusivity, and engineering excellence. • Effectively communicate technical direction, guide teams through execution and drive organizational quality practices • Diagnose performance bottlenecks and implement optimizations • Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

• Shape the product architecture end-to-end. • Own the data foundation. • Engineer for performance at scale. • Drive technical direction through RFCs. • Ship with product and design, not in a silo. • Use AI as a force multiplier (responsibly). • Hold the quality bar high.