Sr. Software Engineer (6 Month Contract)

14 days ago

Toronto, Canada +5 moreSenior

Responsibilities

Lead ongoing software engineering initiatives as the senior technical lead and solution development advisor.
Translate business requirements into scalable solutions using Copilot Studio agents, Azure Web Apps, Power Automate, Azure OpenAI, Azure AI services, and Power Platform.
Recommend architecture, development patterns, security considerations, integration approaches, and enterprise guardrails.
Develop, troubleshoot, optimize, and support production solutions across Power Platform, Azure Web Apps, integrations, automation workflows, and Copilot Studio.
Provide technical feasibility, governance, integration, and advisory input to Product & Engineering leadership, IT collaborators, and vendors.
Guide citizen developers and M365 Copilot pilot and early-adopter activities, including custom agents and extensions across Teams and SharePoint.
Support Power Platform and Azure integration workflows involving Dataverse, Power Apps, Azure Logic Apps, app registrations, Key Vault, and Application Insights.
Maintain documentation, solution diagrams, architecture artifacts, environment notes, runbooks, support paths, and design-decision records.
Complete structured knowledge transfer and handoff to internal owners before contract completion.

10+ years of experience crafting and developing systems using programming concepts and object-oriented design and development.
At least 2 years of experience delivering enterprise-grade automation, cloud, Microsoft platform, integration, or AI-enabled solutions.
Bachelor’s degree or equivalent experience in Computer Science, Management Information Systems, or a related field.
Strong understanding of the Microsoft cloud and AI stack, including Power Platform, Azure Web Apps, Copilot Studio, M365 Copilot, and Azure AI services.
Experience translating business requirements into scalable, supportable solutions and bridging technical execution with business strategy.
Strong architectural judgment concerning security, supportability, maintainability, and business risk.
Ability to operate independently with limited ramp-up time, prioritize operational and advisory work, communicate with technical and non-technical collaborators, and transfer knowledge effectively.
Familiarity with AI solution patterns such as LLM workflows, agents, governance, and business-system integration is an asset.
Experience implementing AI agent harnesses with orchestration, tool integration, state management, observability, evaluation, and error handling is an asset.
Experience in real estate, construction, corporate IT, internal application teams, or enterprise shared services is an asset.
Relevant certifications in AI, cloud architecture, Microsoft Power Platform, Azure, or solution architecture are an asset.

3-to-6-month contract engagement.
Hybrid or remote flexibility; Calgary-based candidates are preferred for occasional in-person collaboration.
Culture based on the values of Passion, Integrity, and Community.

1,001-5,000 employees