Software Engineer, Data Infrastructure

Cohere; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend and snacks

Full health and dental benefits

100% parental leave top-up

Personal enrichment benefits

Remote-flexible work options

6 weeks of vacation

Job summary

Cohere is seeking a Software Engineer to build and maintain high-performance data infrastructure essential for AI training workloads. The role involves working on petabyte-scale storage and addressing complex performance challenges. Candidates should have over 4 years of experience with data storage infrastructure and strong skills in Python and Kubernetes, alongside an enthusiasm for AI research. Cohere offers a supportive culture with flexible remote work options and generous benefits including health and mental wellness support.

Qualifications

• 4+ years of experience working on data storage infrastructure.
• Strong command of Python and Kubernetes.
• Experience with distributed data processing frameworks.

Responsibilities

• Build and maintain petabyte-scale storage infrastructure.
• Collaborate daily with top researchers and engineers.

Skills

Python

Kubernetes

Data storage infrastructure

Distributed data processing frameworks

Apache Beam

Spark

Flink

BigQuery

Airflow

dbt

Job description

Why this role?

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.

You may be a good fit if you have

• 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
• Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt (nice‑to‑have)
• 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.

Full‑Time Employees Enjoy These Perks

• An open and inclusive culture and work environment
• Work closely with a team on the cutting edge of AI research
• Weekly lunch stipend, in‑office lunches & snacks
• Full health and dental benefits, including a separate budget to take care of your mental health
• 100% parental leave top‑up for up to 6 months
• Personal enrichment benefits towards arts and culture, fitness & well‑being, quality time, and workspace improvement
• Remote‑flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co‑working stipend
• 6 weeks of vacation (30 working days)

EEO Statement

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.