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DataOps Support Engineer

CDI
Singapore
Salaire : Non spécifié
Début : 16 novembre 2022
Télétravail fréquent
Expérience : > 2 ans
Éducation : Bac +3

Opensee
Opensee

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Le poste

Descriptif du poste

Your responsibilities 
We are looking for DataOps engineers to join our local client support team in Singapore to help us deploy our big data solution at financial institutions. 
You will be responsible for all aspects of the client success project. This involves closely working with client’s internal teams to drive growth and address concerns efficiently:

  • Install our solution in client infrastructure, at the multiple steps of the sales process ( POC / Test / Production). Clients could use servers, VM, clouds (aws, azure, gcloud), and you must be able, with the help of the teams and our experience, to adapt to that.
  • Help the client integrate our solution in their ecosystem : 

    • Ingesting their data in our solution 
    • Integrating our web and windows UI clients  with their environment, e.g. for authentication (SSO)
    • Helping them with our API
  • Help the client use our platform, particularly using our python User Defined Function system, similar to AWS lambda and dealing with docker and kubernetes.
  • Support the integration of client’s use-cases inside Opensee which involves understanding their needs (both business and technical), and working internally with our Developers and Product Management teams.

Keywords: linux, bash, python pandas, ops, devops, database, docker, kubernetes

Working conditions 

  • Multiple full-time positions (open until filled)
  • Duration: permanent contract
  • Salary: Competitive, profile based
  • Location: Singapore

Profil recherché

About you

  • Great communication and negotiation skills
  • Autonomy AND Team working
  • Creativity, Problem-solving mindset
  • Proactive

Prior experience: Ops / DevOps experience (“bare metal”, VM, clouds, at least one of them)
Curriculum: You hold a Bachelor’s or a Master’s degree in computer science or significant experience in the domain.
Technical skills:

  • Unix systems / Bash / networks
  • Docker / Kubernetes
  • Big data / Distributed databases / SQL / Python (numpy, pandas)
  • Scripting / Analyzing / Optimizing in the context of Tera or Peta scale data
  • Testing, Deployment logics, Hardware specifications, Integration

Linguistic skills: Fluent in English both written and verbal, French is a plus

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