The Impact of a Lead Cloud Software Engineer at Coupa:
AI is reshaping how the world builds, learns, and connects. At our company, we believe the next generation of enterprise software will be powered by AI-driven platforms that are secure, scalable, and built for constant innovation. As our Lead of AI LLM Platform DevOps team, you will build solutions that enable this vision. From CI/CD pipelines, ML Ops, GenAI, Agentic AI platforms to AI governance and observability, you will define how our engineers build, test and ship the technologies that power global enterprises. This is your chance to lead & shape the evolution of Coupa’s AI platform. You will lead system design, code development, deployment, automation for our LLM/GenAI/Agentic AI platforms ensuring reliability, scalability of infrastructure.
What You’ll Do
- Lead Platform Architecture and Strategy: Define and drive the long-term technical vision for Agentic AI platform and LLM infrastructure, making strategic decisions on technology choices, architectural patterns and platform evolution.
- Design Enterprise-Scale Platform Solutions: Architect complex, multi-tenant platform systems that support high availability, scalability, and security requirements across global multi-cloud environments
- Drive Technical Leadership and Mentorship: Lead and mentor a team of platform devops engineers, providing technical guidance, code reviews, and career development while fostering a culture of engineering excellence
- Establish Platform Engineering Standards: Define and implement best practices, coding standards and architectural principles that ensure consistency, reliability, and maintainability across all platform components
- Involve in evaluation of new products and technologies like RAG, MCP servers. AI Agents, Agentic Workflows, etc.
- Deployment and Life cycle Management of LLM & Embedding Models.
- Build and manage MLOps pipeline.
- Infrastructure As Code (IaC e.g Terraform) with Multi Cloud Deployments.
- Ensure technical quality through code reviews, architecture discussions, and engineering standards.
- Collaborate with the Principal Architect and AI/ML Engineering Lead on technical direction.
- Collaborate with platform, Dev & QE teams to plan & deploy the releases.
- Participate in design reviews, code reviews, troubleshooting incidents & write, and review Incident RCAs
What You Will Bring to Coupa
- Senior Platform Engineering Leadership: 10+ years of hands-on platform engineering experience with 3+ years in technical leadership roles, including experience managing complex cloud infrastructure at enterprise scale
- Advanced Cloud Architecture Expertise: Deep expertise in cloud-native architectures, multi-cloud strategies, and advanced services across AWS or GCP, with proven experience designing systems that handle millions of transactions
- Enterprise Platform Design: Proven track record designing and implementing large-scale platform solutions, including microservices architectures, container orchestration, and distributed systems patterns
- Advanced Automation and Programming: Expert-level programming skills in multiple languages (Python, Go, Java, etc.) with extensive experience building sophisticated automation frameworks and platform tools
- Strategic CI/CD and DevOps: Deep expertise in enterprise CI/CD design, MLOps pipelines, and DevOps transformation initiatives, with experience implementing these practices across large engineering organizations
- Architectural Decision Making: Proven ability to make complex technical trade-offs, evaluate emerging technologies, and drive architectural decisions that balance current needs with long-term scalability
- Enterprise AI platform infrastructure development experience
- Experience building enterprise grade, scalable, cost-efficient, secure AI/ML platforms with a focus on resiliency, automation, observability.
- Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB
- Exposure to evaluation of new products and technologies like RAG, MCP servers, AI Agents, Agentic Workflows, LangChain etc.
- Manage AWS core & AI /GenAI services (S3, IAM, EKS, Bedrock, etc), Expert in IaC (Terraform).
- Containerization and Orchestration: Deep knowledge of Docker and Kubernetes (especially GKE or EKS) for scaling inference services, Build, deploy workloads.
- A leader who thrives in fast-moving environments, motivates teams, and embraces innovation.
- Strong communication skills across geographies.
- BS/MS in Computer Science or equivalent experience.
Skills Required
- 10+ years platform engineering experience with 3+ years in technical leadership
- Deep expertise in cloud-native architectures and multi-cloud strategies (AWS or GCP)
- Proven experience designing and implementing large-scale, multi-tenant platform solutions
- Expert-level programming in Python, Go, Java
- Expert in Infrastructure as Code (Terraform)
- Deep expertise in CI/CD design, MLOps pipelines, and DevOps transformation
- Deployment and lifecycle management of LLM and embedding models (OpenAI, AWS Bedrock, Amazon SageMaker)
- Experience with vector databases (e.g., LanceDB)
- Manage AWS core & AI/GenAI services (S3, IAM, EKS, Bedrock)
- Deep knowledge of Docker and Kubernetes (especially GKE or EKS)
- Exposure to RAG, MCP servers, LangChain, AI Agents and Agentic Workflows
- BS/MS in Computer Science or equivalent experience
- Strong communication and team leadership skills across geographies
What the Team is Saying
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
