Software Engineer - 11365

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 Software Engineering at Coupa: At Coupa, our Data Platform Engineers build the backbone of a global, AI-driven spend ecosystem—processing and optimizing trillions of dollars in business transactions across millions of buyers and suppliers. In this role, you will design and scale high-performance, cloud-native data platforms that ingest, process, and serve large-scale, multi-source data with reliability and speed. Your work will directly power critical analytics, AI models, and decision-making systems that help customers reduce costs, improve efficiency, and drive measurable margin impact. You will go beyond traditional ETL development—engineering reusable data frameworks, real-time and batch pipelines, and API-driven data services that support a multi-tenant SaaS environment. From enabling high-throughput data ingestion to ensuring data quality, governance, and observability at scale, your contributions will define how data is trusted and consumed across the platform. n What You'll Do: Design and deploy a cloud-native analytics platform optimized for performance and scalability. Develop and manage an API-driven data infrastructure ensuring secure and efficient data access. Construct end-to-end data ingestion pipelines to integrate diverse data sources. Apply AI techniques for data classification and harmonization to enhance data integrity. Oversee data modeling, microservice orchestration, and platform monitoring and alerting. What You Will Bring to Coupa: At least 3 years of software engineering experience within a B2B SaaS environment. Proven ability to manage substantial data volumes and intricate code structures. Expertise in creating scalable Data Warehouse solutions for analytical reporting. Strong analytical skills for handling unstructured datasets. Experience in designing data transformation, metadata management, and workload management processes. Working knowledge of message queuing, stream processing, and big data storage systems. Technical Skills: Proficiency in Python and Jupyter Notebooks. Familiarity with SQL and NoSQL databases like MySQL, PostgreSQL, and Cassandra. Experience with big data technologies such as Spark and data processing frameworks Familiarity with cloud platforms (AWS, GCP, or Azure) nCoupa 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. Apply To This Job