Senior Customer Engineer, Digital Natives

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Google Cloud empowers startups to address critical needs in scaling, growth, and global expansion, while offering advanced technologies that drive differentiation, customer acquisition, and business acceleration.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Partner with CTOs and engineering leads at high-growth startups to design agentic engineering processes and build modern cloud-native architectures.
• Help customers shift left with spec-driven development, test-driven engineering, and early security checks while integrating agent frameworks, APIs, and MCP.
• Solve production challenges for AI-native workloads, focusing on automated verification, evals, latency, tokenomics, and runtime guardrails for enterprise deployments.
• Design highly scalable systems utilizing Kubernetes, serverless environments, and CNCF open-source projects to overcome complex scaling and growth bottlenecks.
• Travel to customer acting as a technical advocate and community presence for Google Cloud's AI and Digital Native capabilities.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with architectural design patterns, platform engineering (e.g., Infrastructure-as-Code, automation, image management or repository management), virtualization deployments, container deployments, application security, or networking.
• Experience working with and presenting to technical stakeholders and executive leaders.

Preferred qualifications:

• Experience working with the startup ecosystem.
• Experience in technical sales or consulting in cloud computing, application development and cloud native architectures.
• Experience in assessing and building cloud native software architectures including application runtimes, databases, serverless environments, container and Kubernetes stacks and event-driven designs.
• Expertise in the area of application development for AI use cases, including the integration with AI (via APIs or MCP), the integration with agents (Agent Development Kit or Agent2Agent Protocol) or the deployment of AI-empowered apps.

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with architectural design patterns, platform engineering (e.g., Infrastructure-as-Code, automation, image management or repository management), virtualization deployments, container deployments, application security, or networking.
• Experience working with and presenting to technical stakeholders and executive leaders.