Lead Cloud Software Engineer - 11625

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.