Software Engineer, Data Infrastructure

Highlights

• Build the high-performance data layer behind demanding AI training workloads.
• Tackle petabyte-scale storage, networking and performance challenges.
• Collaborate daily with world-class researchers and engineers.

What they offer

• Offers Equity
• Weekly $75 lunch stipend
• Full health and dental benefits including mental health budget
• RRSP matching, 401K and Pension Scheme
• 100% parental leave top-up for up to 6 months
• 6 weeks of paid vacation
• $500 home office stipend and co-working benefit

Ideal candidate

A curious, builder-minded data infrastructure engineer with several years of experience who follows AI research closely, thrives in ambiguity, and enjoys collaborating with researchers to build genuinely new systems.

Requirements

• 4+ years of experience working on data storage infrastructure
• Strong command of Python
• Kubernetes experience, especially on storage side (Persistent Volumes, CSI drivers, etc.)
• Ability to transform unstructured data into performant datasets across S3, GCS and POSIX backends
• Experience with distributed data processing frameworks such as Apache Beam, Spark or Flink
• Familiarity with modern analytics tooling such as BigQuery, Airflow or dbt (nice-to-have)