Software Developer III, Full Stack, Cloud Applied AI – Google – Waterloo, ON
At the intersection of AI innovation and cloud infrastructure, Google is hiring a Software Developer III, Full Stack to join its Cloud Applied AI (AAI) team in Waterloo, Ontario. This is a mid-level role for developers who want to work at the forefront of Generative AI, building products that shape how businesses interact with customers at scale.
The Cloud AAI team powers business growth through Gemini Enterprise, a portfolio that includes tools like CX Agent Studio, Agent Assist, and Vertex AI Search for Commerce. You’ll collaborate directly with model builders, product managers, UX designers, and AI researchers to deliver solutions that go from zero to production with startup agility — all within one of the world’s most technically ambitious organizations.
About the Role: Software Developer III, Full Stack
In this position, you’ll take on end-to-end ownership of cloud-based contact center software, from architectural design through to deployment and ongoing operations. You’ll lead technical co-development efforts with external partners, ensuring their technologies integrate seamlessly with Google’s platform. The work involves navigating complex distributed systems, real-time communication infrastructure, and AI-powered customer support workflows — all in a fast-moving, agile environment.
Beyond writing code, you’ll bring domain expertise to guide product direction, manage cross-functional collaborations, and drive decisions around technical trade-offs. Whether you’re working with CCaaS platforms, integrating WebRTC, or contributing to agentic AI frameworks, you’ll operate with a level of autonomy and influence that reflects the seniority of the role. Team members here collaborate closely and move fast, with direct access to the model builders developing tomorrow’s AI.
Benefits and Salary
This role comes with a competitive compensation package. The posted salary range for Canada is $150,000 – $153,000 CAD, plus a 15% bonus target, equity (GSUs via Alphabet Inc.), and a comprehensive benefits package. Individual pay is determined by job-related skills, relevant experience, and education. Google’s benefits are extensive — you can learn more at Google’s official benefits page.
Job Details
📌 Job Type: Full-Time
🏢 Company: Google
📍 Location: Waterloo, ON, Canada
💰 Pay: $150,000 – $153,000 CAD + 15% bonus target + equity + benefits
Responsibilities
This role spans the full software development lifecycle — from defining architecture to maintaining live systems. You’ll be expected to lead with both technical depth and collaborative communication, working across internal teams and external partners to deliver AI-powered customer experience solutions that are reliable, scalable, and impactful.
- Lead technical engagement and co-development efforts with external partners, ensuring seamless integration of their technologies with Google’s platform
- Drive end-to-end development of cloud-based contact center software, from architectural design through deployment and operations
- Collaborate closely with Product Management, UX, and AI research teams to define requirements and deliver AI-powered customer support experiences
- Apply domain expertise in contact centres, customer support workflows, or Generative AI to guide product direction and navigate complex technical trade-offs
- Perform in an agile environment to accelerate development and execution in a continuously evolving domain
- Design, develop, test, deploy, and maintain software solutions while managing project priorities and deadlines
Requirements / Skills
Google is looking for a versatile developer who combines strong systems programming fundamentals with an appetite for working on cutting-edge AI applications. The ideal candidate brings hands-on experience in distributed systems and has a track record of delivering on technically complex, cross-functional projects.
- Bachelor’s degree in Computer Science or equivalent practical experience
- 2+ years of experience developing toolchain components such as compilers, linkers, debuggers, or system libraries
- 2+ years of software development experience in professional or equivalent settings
- Proficiency in C/C++ programming
- Experience with Generative AI or LLMs — particularly in developing AI agents or agentic frameworks — is a strong asset
- Experience with cloud-based contact centre technologies (e.g., CCaaS platforms, telephony, WebRTC) and customer support operations
- Track record on complex, cross-functional projects and managing technical collaborations with external partners and vendors
How to Apply
To apply for this position, use the official Google Careers link below. Make sure your resume is up to date and reflects your relevant experience before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Software Developer III, Full Stack role at Google in Waterloo is perfect for candidates who excel in distributed systems design, full-stack development, and AI/ML integration. On your resume, emphasize any experience with cloud-based platforms, contact centre technologies, or Generative AI frameworks, attention to technical detail, and your ability to work in a fast-paced, agile environment. If you’ve previously worked in AI agent development, CCaaS platforms, or cross-functional software projects, make sure to highlight specific achievements and responsibilities that align with this position.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like Generative AI, distributed systems, and full-stack development that appear in the posting. Quantify your achievements where possible (e.g., “reduced system latency by 30% through architectural refactoring” or “led integration of 3 external partner APIs into production platform”). Write a brief cover letter expressing your genuine interest in Google‘s Cloud Applied AI mission and why you’re motivated by this opportunity in Waterloo. Double-check your application for errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Google‘s Cloud AI portfolio, recent Gemini Enterprise announcements, and the team’s focus on customer experience AI. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your technical leadership, system design thinking, and cross-functional collaboration. Common questions may include scenarios about handling architectural trade-offs, leading partner integrations, or debugging complex distributed systems. Dress professionally, arrive 10–15 minutes early (or log in early for virtual interviews), and bring copies of your resume. Prepare thoughtful questions about the role, the Cloud AAI team’s roadmap, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.