Software Development Engineer (DevOps Engineer)
SOPHiA GENETICS, France

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
May 20, 2021
Last Date
Jun 20, 2021
Location(s)

Job Description

Would you like to join a dynamic and exciting organisation that uses cutting edge technologies to deliver a world changing product that has a direct impact on the lives of cancer and rare disease patients worldwide? Join our growing team and use your exceptional skills to help us deliver our mission of democratizing Data-driven medicine. Our products are used by thousands of healthcare institutions globally and provide world-leading capabilities for the analysis of genomic, clinical and imaging data.

In our drive forwards we are looking for a DevOps Engineer in Bidart, France.

We are looking for a Dev[Sec]Ops to support growing business at SOPHiA GENETICS. Our engineering team brings together 150+ talented individuals on 3 main locations (Bordeaux, Bidart and Switzerand). We are organized in Agile and autonomous feature teams and we share technical knowledges within several communities of practice.

Your mission will be (but not limited to):

  • You will support Engineering Teams in their transition to DevOps culture and tools.
  • You will contribute and maintain automation tools and scripts to accelerate projects delivery.
  • You will design, maintain and optimize CI/CD chains.
  • You will take part in the transformation of legacy systems/applications to microservices oriented services.
  • You will assist in adoption of new micro-services models and containerizations: Docker, Kubernetes.
  • You will contribute to choices and configurations of Cloud components.
  • You will deploy Cloud components, applications taking in account a full monitoring stack, guarantee an operations production and manage incidents.

Our technologies / methodologies:

  • Cloud: Azure / AWS
  • CI/CD: Bamboo, Gitlab
  • Code: Scripting shell, Python, Java, TypeScript and so on
  • Eco-System: Ansible, Terraform, Gitlab, Docker, Kubernetes (AKS), Kafka, Mesos, ActiveMQ, MariaDB, Postgres, Prometheus, Grafana, Jaeger, Kiali, Istio
  • Method: Agile/Scrum

Requirements

  • Ensuring a first relevant experience in a similar role for at least 5 years.
  • Good knowledges of IT (Development, Architecture, Infrastructure and Security) and of production, HA operations management.
  • You are recognized for your ability to collaborate. Rigorous, you have a good analytical skill and your ability to adapt in any circumstances will convince us.
  • Experience working on large scale distributed, fault tolerant systems/services.
  • Acting ethically and professionally is your daily basis.
  • Work in autonomous in a complex and large technical eco-system.
  • English proficiency is a must, French is optional.
  • Experience working under IVDR / FDA regulations is a big advantage.
  • Experience with genomics, digital image analysis, clinical data is a big advantage.

Benefits

  • An exciting journey to facilitate patients’ access to better treatment worldwide
  • Flexible, friendly and?international working environment
  • A?stimulating technical environment?(cloud computing, Big Data, CI, CD, .)
  • Continuous learning and trainings
  • Permanent exchanges with teams of experts within the company (AI, genomics, medicine, etc.)

Starting date:?ASAP

Contract type:?Permanent full-time?


Application process

If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered.?

After an initial screening process, candidates will be invited for remote interviews. You may be asked to perform a programming task as part of this process. Selected candidates will then be invited for personal interviews.?

Job Specification

Job Rewards and Benefits

SOPHiA GENETICS

Information Technology and Services - San Jose, United States
© Copyright 2004-2024 Mustakbil.com All Right Reserved.