Responsibilities
- Develop, integrate, deploy, and operate generative AI agents and Model Context Protocol integrations for data discovery, SQL development, and pipeline creation.
- Design, build, maintain, and optimize data platform services, data pipelines, and Google Cloud Platform infrastructure.
- Maintain Google Kubernetes Engine application configurations and Helm deployments for workflow orchestration, metadata management, and other data platform services.
- Manage deployment automation, CI/CD pipelines, container images, and application upgrades.
- Monitor and troubleshoot application, pipeline, and infrastructure issues; participate in incident response and root cause analysis.
- Collaborate with infrastructure, site reliability engineering, security, and business teams on platform enhancements, onboarding, and migrations.
- Automate operational tasks and evaluate technologies through proofs of concept to improve performance, scalability, and reliability.
Requirements
- At least 3 years of professional experience in data engineering, software engineering, or cloud platform engineering, including production application support.
- Experience with Python, SQL, Git, cloud platforms and data services, preferably GCP, BigQuery, and Google Cloud Storage.
- Experience with Kubernetes, preferably GKE, Docker, Helm, and CI/CD pipelines, preferably GitLab CI/CD.
- Experience developing, deploying, or supporting Apache Airflow workflows and troubleshooting orchestration issues.
- Familiarity with generative AI concepts including large language models, tool calling, and Model Context Protocol.
- Strong software engineering fundamentals, including modular design, automated testing, code reviews, monitoring, and technical documentation.
- Understanding of relational and NoSQL databases, messaging systems, retries, idempotency, fault tolerance, and reliable data processing patterns.
- Ability to apply software engineering and site reliability practices to automate operations and improve platform availability.
- Additional assets include exposure to metadata management, data cataloguing, real-time analytics, distributed data processing, infrastructure as code, prompt engineering, retrieval-augmented generation, AI-output evaluation, Vertex AI, Google Agent Development Kit, LangChain, or LangGraph.
Benefits
- Work Perks Program.
- On-site GoodLife Fitness, basketball and volleyball courts, ice rink, grocery delivery through PC Express, and dry cleaning services at the 1PCC office.
- Tuition reimbursement and online learning.
- Pension and benefits.
- Paid vacation.
- The position is located at 1 President’s Choice Circle in Brampton, Ontario, with flexibility and balance described for the work environment.
Tech Stack
Categories
About Loblaw
Loblaw Companies Limited is Canada’s food and pharmacy leader, serving millions of customers each week through our network of stores, pharmacies and trusted brands. Our colleagues work every day to help Canadians Live Life Well through affordable food, accessible healthcare and meaningful community impact. It is our people who bring this purpose to life as they bring their difference and make their difference. Les Compagnies Loblaw Limitée est le chef de file canadien dans le domaine de l’alimentation et de la pharmacie, servant des millions de clients chaque semaine par l’entremise de notre réseau de magasins, de pharmacies et de marques de confiance. Nos collègues travaillent chaque jour pour aider les Canadiens à Vivre bien, vivre pleinement grâce à des aliments abordables et à des soins de santé accessibles et en ayant une incidence significative sur les communautés. Ce sont les membres de notre personnel qui donnent vie à cette raison d'être en apportant leur différence et en faisant la différence.