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Cloud Engineer

Permanent contract
Paris
Salary: Not specified
A few days at home
Education: Master's Degree

Capital Fund Management
Capital Fund Management

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Questions and answers about the job

The position

Job description

Is CFM what you’re looking for?

We’re a global asset manager, founded in 1991 and a pioneer in the field of quantitative trading with assets under management of $10 billion. We are innovative, collaborative and believe in diversity with around 30 nationalities, across our five offices in Paris, New York, London, Tokyo and Sydney.

What can CFM offer you?

We create an environment for highly talented and passionate PhDs, IT engineers and other recognised experts to explore new ideas and challenge assumptions. We are a Great Place to Work and welcome those who are intellectually curious and keen to see CFM’s thinking, research and analysis come to life in a way that benefits our clients.

The context :

Data is the fuel that powers our investment strategies: intraday price dynamics are used to better our investment decisions; buy/sell intents of market participants help to trade at the best available price. CFM Data team prepares the data to make quant research easier and trading more reliable.

The position

As a cloud engineer your main responsibility will be to build & run the cloud infrastructure that powers our data pipelines. We strongly believe that staffing data engineering teams with cloud skills help us deliver more data in a shorter amount of time.

You will join our data-mesh initiative as one of our earliest contributors. Equipped with the ‘infra-as-code’ superpower you will deliver the services that will help our data engineering teams publish & share their datasets with their users. You will also provide the building blocks for implementing efficient and reliable data pipelines.

You will also contribute to our existing cloud data platform to optimize its cost, reliability & performance as well as provide onboarding/training to our data scientists/engineers.


Preferred experience

  • Previous AWS experience, ideally a certification
  • Python
  • Capacity to work in a team
  • Obsessed with providing the best technology to address real world data use cases

Extra

  • Proficiency in infra as code tools, CDK, CloudFormation or Terraform
  • Experience of optimizing Spark workloads

Recruitment process

  • Call RH
  • Technical Test
  • Interview Manager

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