What are you going to do? 

You will work in the team responsible for all aspects of the client success project. You will be responsible for client’s production on critical and high stakes businesslines. This involves closely working with client’s internal teams to drive growth and address concerns efficiently:

• Deploy our solution in client infrastructure, at the multiple steps of the sales process (POC / Implementation / Production). Clients’ infrastructure include bare metal environments, VM, clouds (AWS, AZURE, Google Cloud Platform). As a DataOps you master the deployment framework of opensee, using the house-built CLI for deployment on bare metal, and inside k8s on cloud. This applies as well to our SaaS platform available on Google Cloud Platform.

• Integrate our solution within the client’s environment, which includes:

  • Advise the client on how to integrate Opensee to customer data processes/flows, troubleshoot, and Fine tuning the ingestion of Data at our clients
  • Advise our client on the best practice for using the platform in an efficient manner, troubleshooting of the platform and fine tuning performance on the data visualisation side.

As a Data Ops, you are the owner of client’s implementation success on the technical side, with the role of:
Training the client IT Team for them to take ownership of the deployment process and all ops related task for the platform such as:

• high availability setup
• resiliency setup
• disaster recovery management
• infrastructure configuration and troubleshooting

• Troubleshooting any issue encountered on:

  • the list above, the infrastructure, network, services failure, replication system issues, data corruption, API or SQL query performances
• Advising the client on best practices, and fine tuning the performances of platform on both writing and reading side
• Support the clients on a daily baisis

Keywords: linux, bash, python pandas, ops, devops, BigData, database, docker, kubernetes, AWS, AZURE,GCP, Cloud.

About you

Interest: You like to have your hands dirty from system to database internal behaviour passing by firewalls and ssh tunnels on multiple environments? Come talk to us.

Qualities: Great communication skills; Autonomy AND Team working ; Creativity, Problem-solving mindset, Proactive, Troubleshooting

Prior experience: Integration, Implementation or Support Engineer, Ops / DevOps experience (on-premise or in cloud) a plus.

Curriculum: Minimum 2 years 

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

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

Working conditions 

• Multiple full-time positions
• Duration : permanent contract
• Salary : Competitive, profile based
• Location : Paris (near Saint-Lazare)

How to apply
Send us your resume and a brief description of why you are interested in joining us, and we will come back to you very shortly!