Principal Software Engineer Application Architect - 11226 Los Angeles, California, United States Development - Engineering - Americas Mid-Senior Level Remote
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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 were 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 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.
What Youll Do
• 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 and agent 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, AIML, 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.
What You Will Bring to Coupa
15 years of Software Engineering experience within an enterprise-grade environment with significant leadership and architectural roles. Must have hands-on application building using tech stack Java, .Net, or Ruby Rails. Prefer to have experience in building AI Agents NLP. 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 AIML 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.
Estimated Pay Range: $173,000 - $225,000
The starting salary for the successful candidate will be based on permissible non-discriminatory factors such as skills, experience, and geographic location.
LI-AA2 LI-Remote
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.
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