Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Software Engineer III, Search role.

Rezi rewrites your resume against Google's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Software Engineer III, Search posting at Google — free, in seconds.

About the Role

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. The AIGC Platform is foundational infrastructure for AI-generated content, managing the entire lifecycle from LLM-based ingestion to quality evaluation and publishing. This role enables product teams to rapidly develop and experiment with new AI-first formats, transforming the Discover feed into an AI-powered companion. The Search team is reimagining information search, solving complex engineering challenges to expand infrastructure while maintaining a universally accessible and useful experience for billions globally.

Responsibilities

Design, develop, test, deploy, and maintain robust and scalable backend infrastructure, data pipelines, and software solutions for the AIGC Platform.
Build scalable, low-latency, and high-throughput streaming and batch data pipelines to handle massive content ingestion, clustering, deduplication, and publishing to serving indexes.
Collaborate closely with cross-functional partners, including Product Managers, UX, Data Scientists, Quality teams and downstream Ranking/Retrieval teams, to drive technical designs and unblock new AI content use cases.
Analyze and optimize system performance, pipeline latency, monitor service health, and manage compute capacity to ensure operational excellence.
Make independent technical contributions and deliver on end-to-end tasks within the platform's broader transformation goals.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., C++ or Python).
Bachelor's, Master's, or PhD degree in Computer Science or a related technical field.
Experience building, maintaining, and scaling high-performance, data-intensive distributed backend systems and data processing pipelines.
Experience with frameworks and tools relevant to AI/ML development, LLM inference, agent-based architectures, and generative AI deployment.
Familiarity with event-driven architectures, content recommendation systems, search technologies, or information retrieval.
Strong problem-solving abilities.
Track record of thriving in ambiguous, fast-paced environments.
Excellent communication skills with the ability to collaborate effectively across multiple specialized engineering and product teams.

Skills

C++
Python
AI/ML development
LLM inference
Agent-based architectures
Generative AI deployment
Event-driven architectures
Content recommendation systems
Search technologies
Information retrieval

Experience Level

2 years of experience with software development

Education Level

Bachelor’s degree or equivalent practical experience
Bachelor's, Master's, or PhD degree in Computer Science or a related technical field

About the Company

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.
The AIGC Platform is the foundational infrastructure responsible for the entire lifecycle of AI-generated content (AI Overviews and AI Cards), including LLM-based topic ingestion, content clustering, summary generation, quality evaluation, and publishing.
Our platform enables product teams to rapidly develop and experiment with new AI-first formats, transforming the Discover feed into a dynamic, AI-powered knowledge and entertainment companion.
We ensure that AI-generated content is fresh, factual, grounded, and safely delivered to millions of users globally by integrating rigorous automated quality gates and efficient LLM agentic workflows.
By centralizing AIGC creation, we enable optimizing heavy compute resources and streamlining the pipeline from real-world events to personalized user feeds and notifications.
In Google Search, we're reimagining what it means to search for information – any way and anywhere.
To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.
In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.