Why This Job is Featured on The SaaS Jobs
This Software Engineer, Data Infrastructure role stands out in the SaaS landscape because it sits at the layer that determines whether advanced product capabilities can be delivered reliably at scale. The listing points to a company building and deploying frontier AI models for developers and enterprises, which makes the data plane a core product dependency rather than a back-office function. Work described spans storage, networking, and performance, indicating a platform-oriented remit that supports multiple internal teams and customer-facing outcomes.
For a long-term SaaS career, infrastructure roles like this build durable leverage: designing data systems that keep model training and evaluation moving, and translating messy inputs into datasets that downstream services can trust. Experience across cloud object stores, Kubernetes storage primitives, and distributed processing frameworks maps cleanly to modern SaaS platform teams, where cost, reliability, and throughput are constant constraints. Close collaboration with research and modeling functions also reflects the increasingly common SaaS pattern of cross-functional platform enablement.
This role is best suited to engineers who prefer deep systems work, enjoy performance tradeoffs, and can operate with partial requirements while building foundational components. It aligns with professionals who want their work measured by platform reliability and developer productivity, and who are comfortable supporting demanding internal customers in an AI-driven SaaS environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
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
[Nice-to-have] Familiarity with modern analytics tooling such as BigQuery, Airflow, or dbt
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
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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.
Full-Time Employees at Cohere 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 and 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!)
