Sr. Lead Software Engineer- (.NET) - 11788

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa? Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.

The Impact of a Principal Software Engineer, Analytics at Coupa: The Principal Software Engineer - Analytics will serve as an architect and visionary leader, responsible for the overall design, strategy, and implementation of our analytics and data applications. This role will encompass all aspects of data engineering, analytics applications, and infrastructure, driving innovation, scalability, and performance across the entire ecosystem

Architect the overall vision and strategy for the analytics and data applications, ensuring alignment with business goals and scalability for future growth. Lead the architecture and development of advanced analytics tools and applications, including sophisticated user & agentic interfaces for data visualization and interactive experiences. Establish and enforce best practices for data transport, microservice orchestration, platform monitoring, and alerting across all data and analytics initiatives. Provide technical leadership and mentorship to engineering teams, guiding architectural decisions and ensuring code quality and performance optimization. Drive innovation by evaluating and implementing cutting-edge technologies in big data, cloud computing, AI/ML, and API development. Ensure stringent data security and governance across all AWS regions and data assets. Collaborate with cross-functional teams, including product, design, and engineering, to translate complex business requirements into robust technical solutions.

15+ years of Software Engineering experience within an enterprise grade environment, with significant leadership and architectural roles. Advanced degree in a quantitative discipline or equivalent practical experience. Extensive experience in designing and developing API-driven services (REST, GraphQL), knowledge graphs and microservice architectures. Strong understanding and application of AI/ML techniques for data classification, harmonization, and predictive analytics. Demonstrated ability to mentor and guide engineering teams, providing technical leadership and strategic direction. Highly skilled in analytical problem-solving, root cause analysis, and optimization of complex data processes across structured and unstructured datasets. Exceptional communication and collaboration skills, with the ability to effectively communicate complex technical concepts to diverse audiences.

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