Software Engineer II - Finance Data & Experiences

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services. Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity. Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations. Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions. Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences. Champion a culture of diversity, inclusion, customer obsession, and continuous learning. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows. Understanding of version control systems (e.g., Git) and DevOps practices. Power Automate / Azure Logic Apps - Automate light data movement or trigger workflows. Curiosity, collaboration mindset, and a passion for solving real-world customer problems. Core Development C# / .NET Core - Back-end services, Azure Functions, enterprise APIs. TypeScript / JavaScript - Front-end development, SPFx for Teams/SharePoint, custom Power Apps components. DAX - Power BI measures and modeling. Power Fx - Power Apps logic and advanced formulas. T-SQL - Querying and shaping data from Azure SQL, Synapse, or Fabric Warehouse. HTML/CSS - UI customization and responsive layouts.