Senior Software Engineer, Google Cloud

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Go or Python.
• 3 years of experience in software development, and designing, implementing distributed systems or cloud-native infrastructure, Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.

Preferred qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 6 years of experience in AI/ML and software development.
• Experience with Distributed Systems, Generative AI, Generative AI Agent, Cloud, Full-Stack Development.

About the job

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.

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

• Lead the design and implementation of complex features such as domain-specific conversational AI agents for essential public sector domains such as Agriculture and Education..
• Advocate high standards for code quality and system reliability through rigorous design reviews and CI/CD pipelines, on-call health etc.
• Refine open-ended technical problems into tractable projects, generating innovative solutions for scaling and reliability.
• Work as an AI-first SWE demonstrating strong AI-SDLC practices in all aspects such as product requirement articulation, design, implementation, coding and code reviews.
• Demonstrate humility, hunger and smartness. Be the Ideal team player.