The Role
Lead the design, implementation, and operation of enterprise-scale LLM/GenAI platforms. Drive architecture, CI/CD, IaC, multi-cloud deployments, model lifecycle, observability, and mentor platform DevOps engineers while collaborating across platform, AI/ML, and QA teams.
Summary Generated by Built In
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 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,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.
- 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: 8+ 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 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.
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.
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.
Skills Required
- 8+ years hands-on platform engineering experience with 3+ years in technical leadership roles
- Deep expertise in cloud-native architectures across AWS or GCP and multi-cloud strategies
- Proven experience designing enterprise-scale platform solutions (microservices, distributed systems, container orchestration)
- Expert-level programming in multiple languages (Python, Go, Java)
- Extensive experience with CI/CD design and DevOps transformation at enterprise scale
- Expertise with Infrastructure as Code (Terraform)
- Experience managing AWS core and AI/GenAI services (S3, IAM, EKS, Bedrock, etc.)
- Deployment and lifecycle management of LLM and embedding models (OpenAI, AWS Bedrock, Amazon SageMaker)
- Experience with vector databases such as LanceDB and related vector search technologies
- Deep knowledge of containerization and orchestration (Docker, Kubernetes; GKE or EKS)
- Experience building resilient, cost-efficient, secure AI/ML platform infrastructure with observability and automation
- Exposure to RAG, MCP servers, AI Agents, Agentic Workflows, LangChain (evaluation and integration)
- Strong cross-geography communication and leadership skills
- BS/MS in Computer Science or equivalent experience
What the Team is Saying
Aditya Maheshwari
Sr. Software Engineer, Cloud
Alex Moon
Operations Analyst, Order Management
Jose Miguel Jimenez
Procurement
Jessica Fonseca
Technical Support Specialist
Daniela Aristizábal
Associate Planning & Operations Analyst
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
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Leave & Time Off Breadth — Time off includes flexible or unlimited PTO, paid parental leave, floating holidays, and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
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Parental & Family Support — Family‑building and caregiving supports include fertility benefits, generous parental leave, and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.
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The Company
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
Remote Workspace
Employees work remotely.
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
Typical time on-site:
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Ann Arbor
Bangalore office
Bogotá, CO
Boston, MA
Chicago, IL
Dubai, Dubai 48800
Hyderabad office
São Paulo, BR
Shivaji Nagar, IN
Singapore, SG
Tokyo Office
Uppsala, SE
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