Empowering Your Business with Seamless IT Solutions
Toronto, Ontario
Unisystech is a global technology consulting firm specializing in digital transformation, AI-enabled solutions, and end-to-end enterprise technology delivery across Canada, the United States, Europe, and Asia. We partner with enterprise clients in both public and private sectors to design, build, and scale modern, cloud-native technology ecosystems that drive innovation, operational efficiency, and measurable business outcomes. Our capabilities include AI and intelligent automation, data engineering and analytics, cloud transformation, enterprise application modernization, and full-stack software engineering. We deliver complex transformation programs that help organizations modernize legacy systems and adopt AI-driven operating models. With deep expertise in banking, financial services, and large enterprise environments, we help clients accelerate digital transformation while improving scalability, resilience, and speed to market. Our global delivery model integrates consulting teams in Canada and the United States, nearshore engineering in Poland, and offshore development centers in India, enabling seamless execution across time zones with optimized delivery efficiency. At Unisystech, we focus on aligning AI, engineering excellence, and execution strategy to help organizations become intelligent, data-driven, and future-ready enterprises.
On-site · Toronto
Provide Tier 1 and Tier 2 production support for Confluent Kafka streaming platforms, including incident resolution, root cause analysis, cluster maintenance, and monitoring pipeline health. Support deployments and configuration changes, troubleshoot producer and consumer applications, and collaborate with engineering teams to onboard pipelines and maintain reliable data flows.
Hybrid · Toronto
Design, build, and maintain automated data pipelines and ETL processes across enterprise systems. Use Python and SQL to process and validate data, troubleshoot pipeline issues, optimize performance, and provide reliable datasets for reporting.
On-site · Toronto
Analyze portfolio, operational, financial, productivity, and AI adoption data to identify trends, risks, and opportunities, then develop executive-ready insights and recommendations. Support KPI reporting, business cases, value realization, operational improvement, and executive decision-making through clear presentations and leadership materials.
On-site · Toronto
Design, develop, configure, and maintain SharePoint solutions across online and on-premises environments, including sites, workflows, forms, integrations, and Microsoft 365 capabilities. Work with business stakeholders to deliver secure, governed collaboration and document management solutions, and provide demonstrations, training, and knowledge transfer.
Hybrid · Toronto
Develop backend solutions using Node.js and AWS, including AWS Lambda. Work independently, take ownership of assigned tasks, and contribute to a consulting engagement for a major bank.
On-site · Toronto
Build a functional AI agent-based prototype to automate workflows, incorporating human-in-the-loop controls and guardrails. Ensure the prototype follows sound engineering practices and has automated test coverage.
Hybrid · Toronto
Design, build, and maintain automated enterprise data pipelines and ETL processes using Python, SQL, and AWS. Analyze and validate data, troubleshoot pipeline issues, optimize performance, and collaborate with analytics and business teams to provide reliable reporting datasets.
On-site · Toronto
Design, build, and deploy cloud-native microservices and serverless applications using Node.js, TypeScript, AWS Lambda, and AWS CDK. Configure resilient SQS-based event processing and apply least-privilege IAM security while following enterprise software design patterns.
On-site · Toronto
Design, develop, and maintain scalable full-stack applications using Angular, Node.js, AWS Lambda, and other AWS technologies, including RESTful APIs and microservices. Collaborate with stakeholders and cross-functional teams on technical design, code reviews, Agile delivery, troubleshooting, and application performance and reliability improvements.
