Job Title: Senior Salesforce Engineer

Vacancies: This posting is for (1) current vacancy

Location: Toronto, ON | Vancouver, BC | Ottawa, ON | Calgary, AB | Halifax, NS | St John's, NL | Kelowna, BC| Prince George, BC | Montreal, QC | Québec, QC (Detailed office location information can be found by visiting this link: https://cancer.ca/en/contact-us)

Work Model: Hybrid Work Model

Salary Band: 7 ($86,000 - $96,000 CAD)

HELP SHAPE THE FUTURE OF CANCER CARE IN CANADA

The Canadian Cancer Society works tirelessly to save lives, improve lives and drive collective action against cancer. Together with patients, volunteers, donors and communities across the country, we raise funds to invest in transformative cancer research, we provide a caring support system for everyone affected by cancer and we advocate to governments to create a healthier future for all. It takes a society to take on cancer – and the Canadian Cancer Society is leading the way

MAKING AN IMPACT

We are seeking a hands‑on Salesforce Platform and AI Engineer to design, build, and scale secure, data‑driven solutions that advance CCS's mission. This role combines Salesforce development, data modeling, integration, automation, and applied AI to deliver intelligent workflows, applications, and enterprise capabilities using technologies such as Agentforce, Einstein, large language models, and other Salesforce AI tools.

What You'll Be Doing

Technical Leadership for AI-Driven Solutions

- Manage and build AI-driven Salesforce solutions, including Agentforce, Einstein, LLM-enabled workflows, automation, and predictive or recommendation features.
- Develop AI-enabled capabilities using Apex, Flow, LWC, SOQL/SOSL, APIs, custom objects,



data models, permission sets, and integration services.
- Oversee architecture and engineering decisions to ensure AI solutions are scalable, secure, maintainable, and aligned to enterprise standards, responsible AI, and least‑privilege access.
- Translate business opportunities into technical designs, prototypes, and production‑ready Salesforce, API, data, automation, and AI solutions.
- Guide teams through design, Apex and Flow development, code review, testing, release, deployment, and support of AI‑enabled solutions.
- Evaluate and operationalize emerging AI technologies, Salesforce AI capabilities, APIs, and integrations that improve productivity, scalability, and business value.

Integration, Data Architecture & Platform Engineering

- Partner with data engineering to support Salesforce data pipelines and ensure APIs, data models, permissions, integrations, and platform services securely consume enterprise data for AI‑enabled workflows.
- Define data models, custom objects, metadata, automation, and integration patterns for AI workflows, real‑time data access, model connectivity, and scalable Salesforce delivery.
- Ensure data and integration designs support secure, governed, reliable AI use, including access controls, data quality, privacy, and least‑privilege permissions.




- Recommend Salesforce capabilities, API patterns, data services, and architecture approaches that improve AI performance, maintainability, scalability, and business value.

Platform Engineering and DevOps

- Support Salesforce change management, including release planning, environment strategy, deployment readiness, impact assessment, rollback planning, and workplace coordination.
- Improve Salesforce DevOps practices, CI/CD, source control, automated testing, code quality checks, metadata deployments, and release governance.
- Set development standards for Apex, Flow, LWC, APIs, integrations, configuration, and AI‑enabled platform capabilities.
- Use AI‑assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.

Other

- Contribute to our culture of diversity, inclusion, belonging and equity (DIBE) by ensuring that all staff feel represented, valued, and heard across all aspects of their identity, including gender, age, religion, ethnicity, nationality, race, and sexuality.
- Other duties as assigned

Qualifications

- 5+ years of Salesforce development experience in complex enterprise environments, including technical leadership across solution design, development, integrations, and releases.
- Degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.
- Strong Salesforce development expertise in Apex, Lightning Web Components (LWC), SOQL/SOSL, Flow, asynchronous processing, and declarative automation.
- Deep understanding of Salesforce architecture, data

📌 Senior Salesforce Engineer (Quebec City)
🏢 Canadian Cancer Society
📍 Quebec City