Design, build, test, deploy, and operate scalable, secure, and highly reliable cloud-native applications, distributed services, and data platforms. Develop end-to-end experiences using C#, JavaScript/TypeScript, ReactJS, Azure services, REST APIs, and modern web technologies, including intuitive interfaces and reusable backend capabilities. Build reusable and robust data processing frameworks, data models, metrics, and data contracts that support evolving analytical and business requirements. Build intelligent experiences using Generative AI, Retrieval-Augmented Generation (RAG), AI agents, semantic search, and workflow orchestration where appropriate. Translate complex requirements into high-quality technical designs and scalable solutions. Create and own architecture proposals, implementation plans, engineering documentation, and operational readiness plans. Modernize platforms to improve scalability, resiliency, observability, security, compliance, accessibility, maintainability, and developer productivity. Use Azure DevOps, CI/CD, automated testing, code reviews, secure development practices, and AI-assisted engineering tools to maintain high engineering standards. Improve live-site health through monitoring, telemetry, troubleshooting, incident response, automation, performance optimization, and continuous improvement. Mentor and collaborate with other engineers and contribute to design reviews, engineering best practices, operational excellence, and continuous improvement initiatives Bachelor's Degree in Computer Science or a related technical field AND 2+ years of technical engineering experience coding in languages and frameworks such as C#, JavaScript/TypeScript, ReactJS, Scala, Python, Java, and Rest APIs. Experience with modern web technologies, including intuitive interfaces and reusable backend capabilities. Experience with Azure DevOps, including source control, build and release pipelines, and CI/CD practices. Experience with software engineering fundamentals, including design, coding, testing, debugging, code reviews, and production support. Experience or domain knowledge in direct and/or indirect procurement, including enterprise purchasing, sourcing, supplier, catalog, or related workflows OR experience with SQL, data modeling, and large-scale data processing using technologies such as Apache Spark, Delta Lake, or equivalent frameworks. Hands on experience building AI-driven business solutions. Analytical, problem-solving, communication, and cross-functional collaboration skills. Experience building enterprise applications or platforms that support complex workflows and API integrations across multiple systems. Experience building LLM-enabled applications, RAG solutions, AI agents, intelligent automation, or agentic workflows. Understanding of security, privacy, accessibility, reliability, and Responsible AI principles. Experience with automated testing, monitoring, telemetry, observability, and DevOps practices.