Software Engineer jobs in Canada

Compensation & Role Details: Expected Salary Range: the expected base salary range for this role is between $160,000 – $180,000 CAD, depending on experience and qualifications. Role Type: New Role. AI Disclosure: AI may be used during the hiring process.

Jonas Software is the leading provider of enterprise management software solutions to over 40 different vertical markets. Within these vertical markets, Jonas has acquired over 185 unique and innovative companies. Jonas’ vision is to be the branded global leader across the 40+ vertical markets and to be recognized by customers and respective industry stakeholders as the trusted provider of “Software for Life” and as an ambassador for technology, product innovation, quality, and customer service. Jonas Software is the valued technology partner of over 40,000 customers worldwide in more than 30 countries. Jonas employs over 6,000 skilled individuals consisting of a cross‑section of industry experts and technology professionals. Jonas is headquartered in Canada and also operates offices throughout North America, the United Kingdom, Europe, Australia, South America and Africa. Jonas is a 100% owned subsidiary of Constellation Software Inc., headquartered in Toronto and traded on the TSX (CSU.TO).

We are hiring a Forward‑Deployed Engineer (FDE) to own the design and delivery of production AI capabilities across a broad portfolio of software businesses. You will work directly with product and engineering leaders, quickly understand their challenges, and build solutions that deliver real, measurable impact. This is a hands‑on, high‑autonomy role where you will move across diverse technical environments, bring modern capabilities into legacy and cloud systems, and turn complex problems into reliable, scalable software. You will also shape reusable patterns and technical approaches that will guide how AI is adopted across the organization. As the first engineer in this function, you will set the technical tone from day one and help establish an AI capability that will scale across dozens of companies.

• Lead discovery with business units to understand workflows, identify high‑value opportunities, and translate needs into clear technical solution designs.
• Design and build AI‑enabled systems and full‑stack components including APIs, integrations, data pipelines, retrieval systems, and user‑facing interfaces.
• Deliver end‑to‑end implementations from prototype through production deployment, ensuring successful rollout, user adoption, and measurable business impact.
• Implement modernization upgrades such as API layers, authentication improvements, async processing, and cloud services to enable AI integration across diverse legacy and modern platforms.
• Diagnose, evaluate, and optimize AI features and supporting systems by monitoring performance, accuracy, latency, reliability, and cost efficiency.
• Build solutions that integrate deeply with existing BU systems including SaaS products, on‑prem platforms, ERPs, and CRMs, resolving complex issues across back‑end services, data flows, and LLM operations.
• Turn one‑off solutions into reusable components, templates, and patterns that make it easier to roll out AI capabilities across additional business units.
• Help develop playbooks and provide training to enable Business Units to take ownership of AI solutions before moving on to new projects.

• 5+ years of experience building and operating production software systems.
• Experience designing and integrating APIs, working with databases, and developing distributed systems.
• Exposure to AI/LLM‑based systems such as prompt orchestration, retrieval‑augmented workflows, embeddings, or similar production use cases.
• Ability to work across the full stack: backend services, front‑end components, cloud infrastructure, and AI integrations.
• Clear communication skills and comfort working directly with both technical and non‑technical stakeholders.
• Strong ownership mindset with the ability to deliver practical solutions quickly and iterate based on feedback.
• Interest in working across varied technical environments, from modern cloud systems to legacy applications.
• Comfort and experience leveraging AI coding agents in SDLC across both greenfield and brownfield contexts.

• Experience with cloud platforms.
• Background in enterprise SaaS, vertical market software, or modernization projects.
• Experience integrating with ERPs, CRMs, or other mission‑critical operational systems.
• Prior work in customer‑facing engineering, consulting, or solutions delivery roles.
• Familiarity with secure data handling, authentication/authorization patterns, or auditability requirements.

Send your resume along with a brief note describing a deployment, integration, or customer‑facing project you led that delivered clear, measurable impact.

Business Unit: Corporate Canada

Scheduled Weekly Hours: 37.5

Number of Openings Available: 1

Worker Type: Regular