Lead Cloud Software Engineer

Coupa Software

Lead Cloud Software Engineer designing and implementing AI-driven platforms for global enterprises. Focused on cloud infrastructure, platform architecture, and development within Coupa's AI technologies.

Posted 7/7/2026full-timeFoster City • California • 🇺🇸 United StatesSenior💰 $142,000 - $198,667 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Hard Skills & Tools

Cloud ArchitecturePlatform DesignAutomation FrameworksMLOps Pipeline ManagementMicroservices ArchitectureContainerization (Docker)Orchestration (Kubernetes)LLM DeploymentAI/ML Platform DevelopmentIncident Management

Soft Skills

Technical LeadershipMentorshipStrong Communication

Certifications

BS/MS in Computer Science