Implementation support Engineer - Bigdata & Analytics Fintech
Description
About Opensee
Opensee provides instant big data analytics solutions to financial institutions. Our mission is to empower business users to autonomously exploit data at a scale and granularity never seen before in order to optimize risk management, trade execution, regulatory reporting and more.
Founded in 2015 by senior banking executives and big data technology experts, Opensee's commercial traction exploded in 2020 with deployment in several Tier 1 financial institutions on critical use cases. To sustain that growth, we doubled our headcount that same year and are now expanding in London, NYC and Singapore.
What’s in it for you?
Develop expertise in one of the most advanced solution for risk aggregations
Work in a dynamic environment where innovation and creativity are highly valued
Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth
Mission
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 an Implementation support Engineer 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 an Implementation support engineer, 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
Profil
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 / Ops
Terraform / golang / Docker / Kubernetes
Scripting / Analyzing / Optimizing in the context of Tera or Peta scale data
Testing, Deployment logics, Hardware specifications, Integration, Debugging and troubleshooting logics
Big data / Distributed databases / SQL / Python (numpy, pandas)
Language skills: Fluent in English both written and verbal, French is a plus
Working conditions
Duration : permanent contract
Salary : Competitive, profile based
Location : Paris based
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!