Senior Software Developer, Full Stack, Applied AI Agent Studio – Google – Waterloo, ON
Google’s Developer Experience / CX Agent Studio (CXAS) Console team is looking for a Senior Software Developer, Full Stack to join them in Waterloo, Ontario. This is a role at the intersection of advanced AI development and front-end engineering — where you’ll help build the platform that empowers developers worldwide to create enterprise-grade generative AI agents.
Day to day, you’ll be designing and building the interfaces, workflows, and components that make complex AI agent configuration feel intuitive. Working alongside UX designers, product managers, and ML engineers, you’ll translate technical constraints into elegant, user-centred solutions while helping set the standard for UI engineering on the team.
About the Role: Senior Software Developer, Full Stack
As a Senior Software Developer on the CXAS Console team, you’ll own significant portions of the full-stack development lifecycle for a platform that serves customers globally at scale. From architecting AI-centric workflows to building real-time data visualisation components, your work will directly shape how developers interact with Google’s next-generation agentic development platform.
You’ll also be expected to take on front-end architectural oversight, establish UI engineering best practices, and coach teammates — contributing to a smart, collaborative, and goal-oriented team that operates at the forefront of AI. This is a fluid environment where light-bulb moments are part of the daily experience.
Benefits and Salary
This role offers a salary range of CAD $182,000 – $186,000 per year, plus a 15% bonus target, equity, and a comprehensive benefits package. Individual compensation is determined by job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Job Details
🏢 Company: Google
📍 Location: Waterloo, ON, Canada
💰 Pay: CAD $182,000 – $186,000 per year + 15% bonus target + equity + benefits
Responsibilities
In this role, you’ll be building the tools and interfaces that enable developers to create, evaluate, deploy, and monitor enterprise-grade AI agents. Your contributions will span the full stack — from performant front-end components to back-end integrations — all in service of a platform that operates at global scale.
- Design and develop scalable, responsive user interfaces for the CXAS Console, empowering developers to build, evaluate, deploy, monitor, and optimise enterprise-grade generative AI agents
- Architect and implement intuitive, AI-centric workflows that simplify complex agent configurations, contributing to an evolving AI-infused front end serving customers globally at scale
- Build robust, performant front-end components capable of managing real-time interactions, data visualisations, and testing interfaces for agents engaging in complex, open-ended dialogues and autonomous tasks
- Collaborate closely with UX design, product management, and ML engineering partners to translate technical constraints into intuitive, user-centric front-end solutions
- Provide front-end architectural oversight, set UI engineering best practices, and coach team members to drive engineering excellence within a collaborative environment
Requirements / Skills
Google is looking for an engineer who is versatile, demonstrates leadership qualities, and is enthusiastic about tackling new problems across the full stack. The ideal candidate brings both technical depth and the ability to guide others in a fast-paced, evolving environment.
- Bachelor’s degree or equivalent practical experience
- 5 years of experience with software development in one or more programming languages
- 3 years of full-stack development experience, including back-end languages such as Java, Python, Golang, or C++, and front-end technologies including JavaScript or TypeScript, HTML, and CSS
- 3 years of experience testing, maintaining, or launching software products
- 1 year of experience with software design and architecture
- Preferred: Master’s degree or PhD in Computer Science or a related technical field
- Preferred: 5 years of experience with data structures and algorithms
- Preferred: 1 year of experience in a technical leadership role
- Preferred: Experience developing accessible technologies
How to Apply
To apply, visit the official Google job posting using the link below. Make sure your resume is up to date before submitting your application.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Senior Software Developer, Full Stack role at Google in Waterloo is perfect for candidates who excel in full-stack development, front-end architecture, and AI-centric product engineering. On your resume, emphasise any experience with JavaScript/TypeScript, React or similar UI frameworks, back-end development in Java, Python, Golang, or C++, and your ability to work in a fast-paced, collaborative environment. If you’ve previously worked on developer tools, enterprise SaaS platforms, or AI/ML-adjacent products, 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 full-stack development, generative AI, and front-end architecture that appear in the posting. Quantify your achievements where possible (e.g., “reduced UI load time by 40%” or “led front-end architecture for a platform serving 10,000+ daily users”). Write a brief cover letter expressing your genuine interest in Google and why you’re excited about this opportunity in Waterloo. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Google‘s engineering culture, the CXAS Console product, and Google Cloud’s Applied AI portfolio beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your full-stack engineering and technical leadership skills. Common questions may include scenarios about architecting scalable UI systems, collaborating across cross-functional teams, and navigating technical trade-offs under uncertainty. Dress appropriately for a tech/software engineering environment, arrive 10–15 minutes early, and bring copies of your resume. Prepare thoughtful questions about the role, team dynamics, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
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