Sr. Principal Software Engineer (Analytics)

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 Sr. Principal Software Engineer (Analytics) to Coupa:  As a member of the development group, you will become part of a team that develops and maintains one of Coupa’s software products developed using Ruby and React, built as a multi-tenant SaaS solution on all Cloud Platforms like AWS, Windows Azure & GCP. We expect that you are a strong leader with extensive technical experience. You have a well-founded analytical approach to finding good solutions, a strong sense of responsibility, and excellent skills in communication and planning. You are proactive in your approach and a strong team player. What You’ll Do:

• Provide technical leadership across multiple software development teams by architecting scalable solutions and guiding implementation.
• Design and implement a high-performance, cloud-native analytics platform with API-first infrastructure for seamless data ingestion (Coupa and external spend data).
• Utilize AI-driven data classification to cleanse and harmonize datasets. Oversee data modeling, microservice orchestration, monitoring, and alerting.
• Collaborate with Engineering and Product leadership on feature design and maintenance release analysis to ensure robust customer-facing solutions.
• Mentor engineers, designers, and developers, while working cross-functionally with Product Management, Integrations, Services, Support, and Operations to ensure successful development and deployment.

What you will bring to Coupa:

• Bachelor’s degree in Computer Science or related field (or equivalent experience) with 15+ years developing enterprise SaaS applications using modern frameworks like Java, .Net, or C, with Python expertise.
• Familiar with AI/ML techniques for data cleansing, deduplication, and entity resolution, as well as MVC frameworks like Django or Rails.
• Full-stack experience includes building responsive UIs, SPAs, and reusable components, with strong UI/UX sensibility.
• Solid grasp of microservices, event-driven architecture, backend integration via APIs, and working with both relational (SQL Server, MySQL, PostgreSQL, AWS Aurora) and NoSQL databases.
• Skilled in performance optimization, monitoring tools, CI/CD tooling, and deployment on cloud platforms (AWS, Azure, or GCP).
• Bonus experience includes Kafka or similar pub-sub systems, and Redis or other caching mechanisms.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.  Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.