Your responsibilities
We are looking for DataOps engineers to join our local client support team in New York 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: New York City
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