recruiting the next in tech
Toronto, Ontario
TekRek was founded on the simple vision of making recruitment as efficient as possible. Recruitment is one of the most important undertakings in building a successful business and we at TekRek understand this. That is why we believe in combining a data driven recruiting process with a human touch to engage and interact with the best candidates in the Technology space. Youtube: https://www.youtube.com/@tekrek/videos Meetup: https://www.meetup.com/tekrek-speaker-series/ TekRek's core areas of recruitment are Software Development and Data. Key roles include: - Director/Head of IT/CIO/CTO - Front-end Developer (ReactJS, AngularJS, HTML) - Back-end Developer (NodeJS, Java, C#, PHP, Python, RoR) - DevOps/Site Reliability (AWS Cloud, Micro-services) - Mobile Developer (iOS, Android) - Cloud Engineer (AWS, Azure, GCP) - CDO, SVP, VP, Director Data - Head of Data Science - Senior Data Scientist - Senior Machine Learning Engineer - Analytics Manager - Senior Data Engineer - Data Architect - Analytics Engineer - Data Analyst
Hybrid · Toronto
Design and improve backend services, APIs, and data systems that process payments accurately and reliably, making architecture decisions for a high-volume platform. Diagnose production issues, improve monitoring, optimize relational data, and collaborate with product and design to shape scope and manage trade-offs.
Hybrid · Toronto
Develop and evolve a large-scale integration platform, build new integrations, and design reliable APIs for customers. Shape technical strategy, improve testing and observability, optimize distributed systems, and collaborate directly with customers on features and product launches.
On-site · Vancouver
Lead the design, architecture, and delivery of customer-facing enterprise products, spanning React interfaces, Python services, and data stores, while owning their security, scalability, and long-term health. Set the product area's technical roadmap, document architectural plans, hire and mentor engineers, and partner with product and customer-facing teams to deliver measurable outcomes.
Hybrid · Montréal
Design and deliver scalable client data platforms from initial scoping and architecture through production, including high-volume batch and streaming pipelines for AI and machine learning workloads. Advise client stakeholders on technical roadmaps and architecture trade-offs, while ensuring data quality, reliability, monitoring, and effective data modeling.