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Python And Kubernetes Software Engineer Data Jobs in New York

Software Engineer, Data Infrastructure

Manhattan, NY · On-site +1

$126K - $151K/yr

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 Infrastructure

New York, NY · On-site

$125K - $150K/yr

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

Manhattan, NY · On-site

$126K - $151K/yr

As a Software Engineer, Data, you will design and own mission-critical data pipelines, partner with ... Python) and are willing to pick up others as the work demands. • Highly effective with SQL and ...

Software Engineer, Data

Manhattan, NY · On-site

$126K - $151K/yr

As a Software Engineer, Data at Airtable, you'll design and own mission-critical data pipelines to ... Python) and are willing to pick up others as the work demands. • Highly effective with SQL and ...

Software Engineer, Data Kalshi is defining a new category. Kalshi has defined a new category ... Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine ...

Software Engineer, Data

Manhattan, NY · On-site +1

$179K - $221K/yr

Software Engineer, Data San Francisco, CA; Austin, TX; New York, NY Airtable is the no-code app ... You are proficient in at least one programming language (preferably Python) and are willing to pick ...

Big Data Engineer

New York, NY · On-site

$61 - $80.75/hr

At least 48 months of experience as a Data Engineer, Data Analyst, Software Engineer, Business ... Min. 2 years of experience in Hadoop, HDFS, HBase, MapReduce, NiFi, Kubernetes, AWS, Azure, and GCP

Software Engineer, Data

New York, NY · On-site

$100K - $250K/yr

Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine ... on software development * Strong command of key programming languages (Python, Golang, Java)

Software Engineer, Data

New York, NY · On-site

$100K - $250K/yr

Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine ... on software development * Strong command of key programming languages (Python, Golang, Java)

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Python And Kubernetes Software Engineer Data information

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Software Engineer, Data Infrastructure

Cohere

Manhattan, NY • On-site, Remote

$126K - $151K/yr

Other

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
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.

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 an 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.