Lead Data Platform Engineer - 11623

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 Lead Data Platform Engineer at Coupa: If you are passionate about new technologies, have a strong technical background and you are looking for an environment where you can continuously expand your knowledge, you are the right fit for this role. At Coupa, the "Cloud team" is looking for an engineer who is ready to constantly question the status quo with a mixture of system design, code development, deployment, automation, networking, and experience in managing big data/ Machine Learning/GenAI platforms. What You'll Do: Manage end-to-end Data pipeline (ETL jobs) within agreed SLAs. Manage AWS core and big data services (S3, IAM, EMR, Redshift, etc..) Running applications in containers (ECS, Docker) Lead Day 2 operational lifecycle for ML and GenAI infrastructure. This includes designing, deploying, and maintaining high-availability production LLM serving platforms, implementing automated scaling, self-healing, and infrastructure-as-code patterns. Focus on proactive reliability, model performance observability, and continuous cost optimization for high-compute AI workloads. Collaborate closely with our product development and engineering teams to create AI-driven features Drive cloud operations consistency by automating platform maintenance, standardizing infrastructure configurations (IaC), and implementing robust release management processes to minimize drift across multi-cloud environments. Manage AWS infrastructure using code (Terraform, Chef, etc..) Administering applications running in Linux operating system. Enable application and system monitoring for better observability. Application and infrastructure support for ETL jobs and data pipelines including participating in an on-call rotation for after-hours emergencies. Collaborate with platform and Dev teams to plan and deploy product releases and patch Linux/ECS clusters. Ability to participate in design reviews, code reviews, and troubleshooting incidents. Ability to operate in a high-pressure environment and troubleshoot complex issues quickly while successfully handling multiple priorities. Ability to record, write, and review RCAs. What You Will Bring to Coupa: Bachelor's Degree and at least 8+ years of experience managing Big Data technologies and Data Pipelines. Sound knowledge and experience in Linux administration and troubleshooting. 5+ years of experience in managing cloud infrastructure and platforms, such as AWS and Azure Familiar with the current engineering landscape in the generative AI space and have a strong interest in AI and related technologies. Strong expertise in MLOps and production-grade LLM operations. Proven track record in managing high-availability model inference clusters, automating model lifecycle management, and implementing advanced observability (latency, throughput, and error rate monitoring) specifically for AI workloads. Have Bash or Python scripting experience Experience with containerization, Amazon ECS, EKS/ Azure AKS Experience