Senior Customer Engineer, Digital Natives
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Google scores B on the Alion truth index.
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.
As a Customer Engineer, you will partner with technical sales teams as a hybrid cloud subject matter expert to differentiate Google Cloud to our customers in the Startup ecosystem. You will help prospective and existing customers and partners understanding the power of Google Cloud, develop cloud solutions and architectures to solve business issues, engage in proof-of-concepts, and troubleshoot any technical questions and roadblocks. You will understand customers business and technical requirements, and present solutions on Google Cloud. You will work in a data center environment as it relates to modernization, and cloud-native architecture. You will also work with cloud application architectures, networking, microservices, and container orchestrators. You will be a part of a team working in an environment of respect where we promote equal opportunities to succeed.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Germany: €112000 - €114000 (EUR) + 42.86% bonus target + equity + benefits
Learn more about benefits at Google.
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.
Qualifications
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.