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4 results for Systems Engineer in Toronto, ON

Software Developer
  • Toronto, ON
  • onsite
  • Permanent
  • 110000 - 120000 CAD / Yearly
  • <p>We are looking for a<strong> Software Developer</strong> to join a team delivering cloud-based backend solutions in<strong> Burlington, Ontario</strong>. In this role, you will contribute across planning, development, validation, and ongoing application support while working in a collaborative Agile and DevOps setting. The position focuses on building reliable APIs, data-focused services, and emerging AI-enabled capabilities that strengthen existing platforms. This opportunity is well suited to a mid-level developer with strong C# and .NET experience, solid cloud knowledge, and a practical approach to building scalable software.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Design, build, and enhance backend applications that support cloud-hosted software products and services.</p><p>• Develop and maintain APIs and service layers that enable secure, efficient, and scalable system integration.</p><p>• Participate in the full software development lifecycle, including technical design, coding, testing, deployment, and production issue resolution.</p><p>• Work closely with product and engineering stakeholders to translate business needs into maintainable technical solutions.</p><p>• Create data-driven functionality that supports application performance, reliability, and informed decision-making.</p><p>• Contribute to AI-related features, including the incorporation of intelligent capabilities into established systems where appropriate.</p><p>• Support DevOps practices by contributing to source control, automated delivery workflows, and continuous improvement of release processes.</p><p>• Troubleshoot defects, investigate root causes, and implement fixes to maintain a high standard of product quality.</p>
  • 2026-06-09T00:00:00Z
Data Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 100000 - 120000 CAD / Yearly
  • <p>Robert Half is working with a global, consumer‑facing organisation that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their <strong>Data Engineering</strong> team to meet rising demand from the business.</p><p>This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data.</p><p><br></p><p><strong>What you’ll be doing</strong></p><ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul><p><strong>Tech environment</strong></p><ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL &amp; Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li><em>(Marketing Cloud / CRM / customer data experience is highly relevant)</em></li></ul><p><br></p>
  • 2026-05-14T00:00:00Z
Pre-Sales Solutions Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 140000 - 160000 CAD / Yearly
  • <p>We are looking for an experienced<strong> Pre-Sales Solutions</strong> Engineer to join our team in Toronto, Ontario. In this role, you will collaborate with customers and internal teams to design and deliver technical solutions that meet complex business needs in the digital payments and wallet domain. Your expertise will drive innovation and ensure seamless integration of cutting-edge technologies.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Design comprehensive payment solutions using RESTful APIs, microservices, and event-driven architectures.</p><p>• Develop detailed logical and physical architectures, sequence diagrams, and integration workflows for payment systems.</p><p>• Ensure solutions comply with performance, scalability, resilience, security, and regulatory standards.</p><p>• Provide expert guidance on best practices for data encryption, tokenization, fraud prevention, and integration.</p><p>• Act as the technical authority for payment APIs, SDKs, and integration patterns to support customers effectively.</p><p>• Assist clients with onboarding, testing, debugging, and optimizing payment systems.</p><p>• Collaborate with customers to review architectures and recommend improvements for reliability, latency, and cost efficiency.</p><p>• Partner with Sales and Account teams during pre-sales activities, including RFPs and technical discovery sessions.</p><p>• Lead technical workshops, architecture reviews, and proof-of-concept demonstrations.</p><p>• Work closely with Product and Engineering teams to align customer needs with platform capabilities and ensure successful delivery.</p>
  • 2026-05-19T00:00:00Z
AI Staff Software Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 120000 - 140000 CAD / Yearly
  • <p>We are looking for an experienced <strong>AI Staff Software Engineer t</strong>o join our team in Toronto, Ontario. In this role, you will lead the development and deployment of advanced AI systems, ensuring their integration across multiple platforms and teams. The ideal candidate will have deep expertise in AI technologies, strong problem-solving skills, and an ability to drive technical innovation in ambiguous environments.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Design and implement cutting-edge AI systems with a focus on agentic AI technologies and workflows.</p><p>• Develop robust backend systems, APIs, and data pipelines to support scalable AI solutions.</p><p>• Collaborate with multidisciplinary teams to align technical strategies and ensure seamless integration across products.</p><p>• Lead the development of AI models and infrastructure, including planning, memory, tool usage, and evaluation.</p><p>• Optimize cloud infrastructure to enhance system reliability and performance.</p><p>• Translate complex problems into actionable solutions, delivering autonomous systems that meet business objectives.</p><p>• Mentor and guide engineering teams through advanced AI workflows and development processes.</p><p>• Drive technical innovation while ensuring the stability and scalability of deployed systems.</p><p>• Implement and manage workflow engines, asynchronous processing, queues, and streaming systems.</p><p>• Influence technical direction and foster collaboration across teams without formal authority.</p>
  • 2026-06-09T00:00:00Z