📋 Description

• Lead the design and implementation of large-scale, production-grade distributed systems that
• Shape the longer-term technical vision for AI infrastructure in collaboration with staff and senior
• Make architecture decisions that balance scalability, reliability, flexibility, operational
• Own production services and pipelines, including operational health, on-call responsibilities
• Build infrastructure and engineering interfaces enabling Applied Scientists to transition ML and
• Develop and operate scalable data workloads using Python, SQL, and distributed processing

🎯 Requirements

• 5+ years of experience building and operating production software services at scale, with strong
• Strong software engineering fundamentals including system design, architecture, coding, testing
• Proven experience owning production services or data pipelines, including on-call responsibilities
• Deep understanding of distributed processing principles and practical experience with Spark, Dask
• Strong SQL capabilities and experience with large-scale data workloads.
• Demonstrated experience integrating machine learning models or LLM-based capabilities into

🎁 Benefits

• Annual base salary range of CA$185,000–CA$225,000.
• Eligibility for annual performance bonuses and equity through RSU programs for permanent employees.
• Potential access to additional performance-based cash or equity incentives.
• Comprehensive health, wellness, and retirement programs.
• Wellbeing days and generous paid leave.
• Dedicated professional development budgets.