Senior Staff Software Engineer, Full Stack, CodeAI

In most instances, this position requires in\-person interviews as part of the hiring process.### Minimum qualifications:

• Bachelor's degree or equivalent practical experience.


• 8 years of experience in software development.


• 7 years of experience with full stack development, across back\-end such as Java, Python, GO, or C\+\+ codebases, and front\-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.


• 5 years of experience with design and architecture; and testing/launching software products.


• Experience building developer\-facing products or tools.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.


• 8 years of experience with data structures and algorithms.


• 5 years of experience in a technical leadership role leading project teams and setting technical direction.


• 3 years of experience working in a complex, matrixed organization involving cross\-functional, or cross\-business projects.

About the job
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Google's software engineers develop the next\-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large\-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast\-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full\-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As a Technical Lead in CodeAI, you will lead novel solutions to make Googlers more productive across the SDLC. You will work across our highest priorities: building agents across the full SDLC, closing loops on self improvement, devising agentic infrastructure and systems as well as delivering on our new and existing product suite's AI transformation.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job\-related skills, experience, and relevant education or training.

Germany: €190000 \- €194000 (EUR) \+ 25% bonus target \+ equity \+ benefits

Learn more about benefits at Google.Responsibilities
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• Lead the technical strategy and roadmap for developer\-facing AI agents, balancing rapid prototyping with reliable production delivery across the full software development lifecycle.


• Design, build, and optimize scalable, low\-latency agentic infrastructure and evaluation harnesses integrated within large\-scale distributed systems and internal developer environments.


• Navigate the full stack, from client runtimes and IDE internals to backend microservices, to deliver high\-concurrency developer tools and AI\-native platform transformations.


• Develop continuous feedback loops, autonomous self\-improvement mechanisms, and evaluation frameworks to systematically enhance model quality, accuracy, and performance over time.


• Guide and unblock engineers across ambiguous problem spaces, advocating system reliability, performance benchmarking, and intuitive developer experience across all deliverables.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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