Senior Software Developer, Backend, Applied AI Agent Studio
Toronto, Ontario, Canada · On-site
$182k–$186k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching…
Skills: Software development, System design, Machine learning infrastructure, API development, Backend services
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Skills: Pricing analysis, Financial modeling, Data analysis, Pension plan knowledge, Strategic thinking
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Skills: MLOps, AWS, Software Engineering, CI/CD, Distributed Systems
At the University of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can br…
Skills: Wetland ecology, Environmental monitoring, Field research, Laboratory methods, Data entry
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Skills: Financial analysis, Pricing strategy, Pension plan management, Data analysis, Mathematical modeling
Senior Software Developer, Machine Learning, Applied AI
Toronto, Ontario, Canada · On-site
$174k–$252k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with …
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years…
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with large scale distributed systems. 5 years of experience with Cloud AP…
Skills: Software development, Distributed systems, Cloud APIs, Cloud infrastructure, Go
At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. In our caring and collaborative environment, your curiosity is encouraged, your passion is recognized, and your c…
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Job Description: The Senior Cybersecurity Architect is responsible for supporting projects that apply new and existing technologies and solutions to solve business needs in the cyber security space, for the US business s…
We are seeking a Manager, Transformation Delivery to lead our low-code solution delivery team and support transformation initiatives within Group Benefits Operations. This is a hands-on delivery leadership role accountab…
Skills: Microsoft Power Platform, Low-code development, Generative AI, Automation, People leadership
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Skills: SQL, PySpark, Data Analysis, Tableau, AWS Cloud Services
Manulife Financial is a global financial services organization operating across Asia, Canada, and the United States. For more than 150 years, we’ve supported customers with trusted advice and innovative solutions to help…
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Skills: Enterprise Data Architecture, Information Architecture, Data Management, Cloud-native data ecosystems, AWS
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Sr. Manager, CA Segment Measurement & Insights Lead
Toronto, Ontario, Canada · Hybrid
$93k–$143k/yr
Senior+$3.6B raised
The Sr. Manager, Measurement & Insights lead for CA Segment is a senior leadership role within the Global Digital Marketing organization. The Sr. Manager of Canada Measurement & Insights would be responsible for standard…
Skills: Digital analytics, Marketing intelligence, Data science, SQL, Python
You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$182k–$186k/yr
Full-time
bachelor degree, postgraduate degree
Bonus target, Equity, Health benefits
Posted 5d ago
~40 hrs/week
Responsibilities
Design and scale secure infrastructure on Google Cloud Platform to support the generative AI agent lifecycle. Lead backend technical goals and implement high-performance APIs to enable complex, autonomous AI agent tasks.
Requirements
Requires at least 5 years of software development experience and 3 years of experience with ML infrastructure or related AI fields. A bachelor's degree is required, while a master's or PhD is preferred.
Full job description
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
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.
The Developer Experience/Conversational Experience as a Service (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade agents. We work across the development lifecycle - Build, Evaluate, Deploy, Monitor and Optimize, extending the console, and re-imagining workflows in an agentic era.
Our work is an intersection of AI centric workflows, in an evolving AI infused front-end serving customers around the world at scale.
In this role, you will experience light bulb moments everyday, in understanding how AI can be used reliably in real world scenarios, with high profile customers, both in creating agents, and running them. You will be working in a smart, collaborative and goal oriented team.
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.
Design and scale secure infrastructure on Google Cloud Platform (GCP) that powers the entire generative AI agent lifecycle, empowering developers to seamlessly build, evaluate, deploy, monitor, and optimize agents.
Bring strong system sensibility to design and implement high-performance APIs and backend services that enable developers to build AI agents capable of complex, open-ended dialogues and autonomous task completion.
Maintain the complex data processing pipelines and backend logic required to reliably support AI-centric workflows, ensuring the platform serves enterprise customers around the world at scale.
Advocate back-end security and reliability best practices, building systems capable of safely supporting AI agents interacting in complex, real-world scenarios with high-profile customers.
Lead the back-end technical goal, solve ambiguous technical issues, and mentor developing teams to rapidly deliver new 0-to-1 capabilities with startup agility while directly collaborating with model builders.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How many Data & Analytics jobs are open in Waterloo, Canada right now?
There are currently 218 open data & analytics positions in Waterloo, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Waterloo, Canada?
Companies currently hiring include Sun Life, Manulife, OpenText, Google, Equitable, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Waterloo, Canada?
Yes — 143 of the 218 open data & analytics positions offer remote or hybrid work (13 remote, 130 hybrid).
How do I apply for Data & Analytics jobs in Waterloo, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.