Software Developer III, Full Stack, Cloud Applied AI
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Minimum qualifications:
- Bachelor's degree in Computer Science, or equivalent practical experience.
- 2 years of experience developing toolchain components (e.g., compilers, linkers, debuggers, system libraries).
- 2 years of experience in software development.
- Experience with programming in C/C++.
Preferred qualifications:
- Experience with Generative AI, Large Language Models (LLMs), or conversational AI systems, especially in the development of AI agents or agentic frameworks.
- Experience building highly available, low-latency, and scalable distributed systems for real-time communication.
- Experience building or integrating with cloud-based contact center technologies (e.g., CCaaS platforms, telephony, WebRTC) and a strong understanding of customer support operations.
- Demonstrated track record on complex, cross-functional projects and managing technical collaborations with external partners and vendors.
About the job
Google's software developers 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 software developers 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 developer, 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 software developers 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.
Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for customer experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead technical engagement and co-development efforts with external partners, ensuring seamless integration of their technologies with our platform.
- Perform in an action-oriented and agile environment to accelerate development and execution in an evolving domain.
- Collaborate closely with Product Management, UX, and AI research teams to define requirements and deliver an exceptional, AI-powered customer support experience.
- Apply your domain expertise in contact centers, customer support workflows, or Generative AI to guide product direction and navigate complex technical trade-offs.
- Drive the end-to-end development of our cloud-based contact center software, from architectural design to deployment and operations.
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