Data & ML Infrastructure Architect
MotionalFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is a hybrid role in the Toronto office.
The role requires expertise in designing and building scalable distributed systems using Scala and related technologies, including distributed databases, message queues, and stream processing. Proficiency in system architecture, ML infrastructure, and engineering best practices like code quality, testing, and documentation is essential.
This information is not specified in the job description.
The role involves fostering a culture of technical excellence and continuous improvement, providing mentorship to senior engineers, and promoting collaboration across engineering and product teams.
Strong candidates will have technical leadership experience, expertise in ML infrastructure and distributed systems with Scala, and the ability to mentor engineers while driving strategic roadmaps and solving complex problems.
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