Empowering enterprises to operate at the speed of insight!
Toronto, Ontario
AI systems for how organizations actually operate. Our intelligent solutions power real-time decisions across the enterprises and institutions that modern economies depend on. At ShyftLabs, we build platforms designed for trusted enterprise deployment, with governed data infrastructure, privacy-first architecture, secure integrations, and responsible AI controls at the core. With experts across Toronto, New York, Dubai, and New Delhi, we turn vision into actual impact.
Hybrid · Toronto
Lead the architecture, design, and delivery of enterprise-scale data platforms while partnering with Fortune 500 clients to define technical strategy. You will mentor engineering teams, establish best practices, and ensure high-quality production deployment of scalable data products.
Hybrid · Toronto
Design, build, and operate cloud infrastructure and CI/CD pipelines while ensuring system reliability and performance. Lead the technical direction for DevOps, mentor engineers, and collaborate with developers to streamline production deployments.
Hybrid · Toronto
The role focuses on automating and optimizing cloud infrastructure to accelerate application deployment, testing, and release. Responsibilities include monitoring performance, managing scalability, and partnering with developers to ensure high availability across environments.
Hybrid · Toronto
Design, develop, and debug full-stack software applications while collaborating with senior developers to maintain architectural standards. The role involves working with LLM-based technologies and participating in agile development cycles to create innovative user experiences.
Hybrid · Toronto
The Data Engineer will design, implement, and optimize big data pipelines in Databricks, developing scalable ETL workflows to process large datasets. They will collaborate with cross-functional teams to enable advanced AI/ML workflows and ensure data integrity and quality in all pipelines.
Hybrid · Toronto
The role involves designing and developing scalable, service-based architectures, remaining hands-on in coding, and architecting system integrations across internal services and third-party platforms using various protocols. Responsibilities also include contributing to AI-enabled features, defining API contracts, and enforcing best practices in code quality and testing.
Remote · Canada
The Data Engineer will design, build, and maintain scalable ETL/ELT data pipelines using GCP services, architecting robust data infrastructure and developing central data warehouses in Google BigQuery. Responsibilities also include leading client communication to translate business needs into scalable technical data solutions and ensuring data integrity through quality checks and governance.