Job description

We are looking for DataOps engineers to join our fast-growing international Fintech team in Paris and London (New York and Asia in the near future with internal mobility possible), 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 step 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 clients (windows, web) with their environment, e.g. for authentication
• Helping them with our API
• Help the client use our plateforme, particularly using our python User Defined Function system, similar to AWS lambda docker, kubernete

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

Practical details :

Position type : Multiple full-time positions, open until filled

Start : As soon as possible (flexible)

Localisation : Paris area (La Défense) - remote work likely given sanitary context

Remuneration : Competitive, experience based

About you

Interest: You like to have your hands dirty from systemd to CI/CD pipelines passing by firewalls and ssh tunnels on multiple environments? Come talk to us.

Qualities: 

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

Prior experience: Ops / DevOps experience (on-premise or in cloud) a plus.

Curriculum: You hold a Bachelor's degree in computer science

Technical skills: 

• Unix systems / Bash / networks
• Terraform / golang / 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