Software Engineer, Data Infrastructure

We're building the data infrastructure behind some of the most demanding AI training workloads in the world, and we want sharp, curious people to help us do it. In this role, you'll build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs. As a Software Engineer, Data Infrastructure, you will: Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. Collaborate daily with researchers and engineers who are some of the best in the world at what they do.

Responsibilities

Build and maintain the high-performance data layer our Modeling teams rely on for training and evaluation jobs; Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it; Collaborate daily with researchers and engineers who are some of the best in the world at what they do

Requirements

4+ years of experience working on data storage infrastructure; Strong command of Python; Kubernetes experience, especially on the storage side (Persistent Volumes, CSI drivers, etc.); The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX; Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink; Genuine excitement about AI. You follow the research, have opinions, and enjoy being in the weeds; Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimize what already exists

Nice to have

Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt

Benefits

Weekly lunch stipend of $75/£75 or equivalent in local currency; Full health and dental benefits, including a separate budget for mental health; RRSP matching, 401K, Pension Scheme; 100% Parental Leave top-up for up to 6 months, for either parent; Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit; Education & learning stipend for conferences, courses, and coaching; 6 weeks of paid vacation (30 working days); Budget for traveling to other offices if you are remote, plus an annual company offsite; For those in the office: daily lunch program, snacks, and regular community and social events; For those not near an office: co-working benefit; $500 home office stipend