Why this role stands out
As a Lead Performance Engineer at Coupa, you will spearhead cutting-edge initiatives at the intersection of enterprise cloud systems and AI-driven innovation, offering unparalleled opportunities to scale your technical expertise. This role is perfect for a seasoned engineer who thrives in a collaborative, high-impact environment where your contributions directly influence the global efficiency of a market-leading platform. Apply today to advance your career while shaping the future of AI-powered spend management.
Quick overview
SeniorityMid Senior
Employment typeMid Senior Level
Work modeOn Site
LocationPune, India
Posted1 week ago
MicroservicesLLM
Job description
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.
We are looking for a highly experienced Senior/Lead Performance Engineer with 12+ years of experience to drive system performance, scalability, and reliability across the Coupa platform. In this role, you will lead performance engineering initiatives for enterprise cloud systems and integrate cutting-edge AI/LLM performance engineering and testing methodologies to optimize both traditional microservices and AI-driven platform capabilities