You are:
A deeply technical AI & Data Engineer with full stack skills, comfortable working in fast‑moving, evolving product environments. You have experience with conversational AI and customer implementations and are familiar with or open to developing C++ expertise.
The Work:
There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever‑changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are tackling today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity.
This role requires working three days per week at the local Mississauga office or a client site in the Greater Toronto Area. Preferred hiring location is Mississauga.
Key Responsibilities
- Develop and maintain technical solutions including Full Stack Applications, ETL pipelines/Batch jobs, SQL‑based visualization dashboards, and Generative AI‑based chatbots.
- Engage with clients/stakeholders to gather and understand requirements, delivering solutions that align with business goals.
- Monitor, debug, and troubleshoot production systems.
Basic Qualifications
- Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years of strong experience working with Google Cloud Platform (GCP) – Cloud Functions, Cloud Run, IAM.
- 2+ years of hands‑on coding experience in Python, SQL, JavaScript/TypeScript, Java/J2EE, HTML, CSS.
- 2+ years of AI/ML experience with a solid understanding of Natural Language Understanding (NLU) and experience with Vertex AI or similar orchestration frameworks.
Preferred Qualifications
- Experience with Google Internal Infrastructure/Tooling such as Boq Server Platform (Boq Angular, Apps Framework) and Scaffolding.
- Working knowledge of data pipelines using PLX tools (Scripts, Workflows, and Dashboards), and usage of Placer for data transfers.
- Experience developing Borg and Borgcron based jobs; integration with Stubby APIs.
Preferred Certifications
- Google Cloud Digital Leader – foundational cloud knowledge needed for operating within GCP.
- Google Cloud Associate Cloud Engineer (ACE) – validates hands‑on ability with GCP services such as Cloud Run, Cloud Functions, IAM, VPC, and integrations.
Compensation and Benefits
Role Location Annual Salary Range (exclude featured text for brevity)
- British Columbia / Ontario: $69,450 to $119,450
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
