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Python Kubernetes Software Engineer Data Jobs in Concord, CA

Software Engineer, Data Infrastructure

San Francisco, CA · On-site

$160 - $230/hr

  • Medical

  • Dental

  • Retirement

  • PTO

As a Software Engineer, Data Infrastructure, you will: * Work directly on petabyte-scale storage ... Strong command of Python * Kubernetes experience, especially on the storage side (Persistent ...

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

Software Engineer, Data Responsibilities Factory is bringing autonomy to software engineering, and ... proficiency in JavaScript or Python. * Hands-on experience with data modeling, warehouse ...

The Staff Software Engineer, Data will design and build scalable data infrastructure to support ... Rust, or Python • Familiarity with DevOps and cloud infrastructure tools such as Kubernetes ...

Principal Software Engineer, Data

San Francisco, CA · On-site

$204 - $348/hr

  • Medical

  • Dental

  • Vision

  • Life

Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade ... Familiarity with Python for Science : Familiarity with data science and ML libraries (pandas, numpy ...

New

Software Engineer, Data Acquisition

San Francisco, CA · On-site

$134K - $162K/yr

They are looking for a skilled Software Engineer to join their Data Acquisition team, responsible ... Kubernetes Infrastructure-as-Code environment and perform routine system checks. • Conduct and ...

Your expertise in TypeScript, Python, Kubernetes, CI/CD, and terraform orchestration will be ... and data, focusing on both preventative controls and rapid response capabilities. * Collaborate ...

Software Engineer, Data Platform

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Orchestrate compute workloads and container infrastructure across cloud environments (Kubernetes ... Python, or Go with a drive to reach for lower-level primitives when performance and efficiency ...

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Software Engineer, Data Infrastructure

Cohere

San Francisco, CA • On-site

$160 - $230/hr

Other

Medical, Dental, Retirement, PTO

Re-posted 6 days ago


Job description

Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

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

Full-Time Employees at Cohere enjoy these Perks:
  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

  • 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.

How and Where We Work:
  • Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.

  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.

  • For those not near an office: a co-working benefit so you can work alongside others in your city.

  • Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We 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 Accommodations Request Form, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

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