Beschreibung
On behalf of our International Finance client we are looking for a highly skilled Python DevOps Engineer to join the IT Risk Modelling team.
This job will have the following responsibilities:
Design, efficient, testable, reusable, and reliable code (on premise and on Microsoft Azure) in Python
Implementation and maintenance of the Python (Web) Front End and Back End of the computationally intensive applications
Implement automation tools and frameworks (CI/CD pipelines).
Conduct systems tests for security, performance, and availability.
Working on a solution which uses Linux, Docker, Kubernetes, JupyterHub
Maintenance of data storage solutions (Postgres, Redis, etc)
Integration of user-facing elements with Server Side logic
Work collaboratively in architecting/developing solutions
Troubleshoot production issues and coordinate with the development team to streamline code deployment
Working with the team of very skilled numerical programmers
Stay abreast of emerging technologies/industry trends
Qualifications & Requirements:
Thorough knowledge of Python and Docker is essential
You have 3+ years' experience as a DevOps Engineer
You are an expert in code deployment tools (Ansible or Salt).
Proficient understanding of GIT and DevOps standards
Very good knowledge of Azure or AWS cloud solutions
Experience implementing automated testing platforms and unit tests
Professional experience building complex, highly scalable Back End application is of great advantage
Experience in using an ORM like SQLAlchemy
Firm grasp of OOP & SOLID design principles expertise
Very good knowledge of English
You will be required to be on-site in their offices in Zurich with an initial contract of 6/12 months with further extensions available.
We can only consider applicants that are EU Nationals, Swiss Citizens or Swiss Permit Holders (no sponsorship is available).
If this is something you want to learn more about, then simply apply with your CV or contact me directly: (see below)
Eames Consulting is acting as an Employment Business in relation to this vacancy.