Required SRE Intern
What will you do:
As a Site Reliability Engineer in our Cloud Engineering R&D group you will be hands-on responsible for building, maintaining, automate and monitoring the cloud deployment infrastructure. Design, develop and maintain the infrastructure and processes of our Continuous Integration and Continuous Delivery flows (CI/CD) on production systems.
What will you do:
As a Site Reliability Engineer in our Cloud Engineering R&D group you will be hands-on responsible for building, maintaining, automate and monitoring the cloud deployment infrastructure. Design, develop and maintain the infrastructure and processes of our Continuous Integration and Continuous Delivery flows (CI/CD) on production systems.
Requirements:
B.Sc student in Computer Science, Computer engineering or equivalent degree, at least 3 semesters till graduation.
Available for 2-3 work days per week (flexible hours).
Linux basic knowledge Must.
Writing scripts in Python / Bash.
Good understanding of networking concepts.
Thorough and methodical approach to any task.
Proactive by nature; internal drive for excellence and improvement.
Fluent in English, good writing skills.
How will you stand out from the crowd:
Git, Jenkins, virtualization, containers, Kubernetes.
Cloud providers: AWS (preferred) / Azure / GCP.
Cloud monitoring tools such as CloudWatch, DataDog, ELK.
Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or an equivalent.
Configuration management using either Ansible, Puppet, Chef or an equivalent.
Familiarity with databases.
B.Sc student in Computer Science, Computer engineering or equivalent degree, at least 3 semesters till graduation.
Available for 2-3 work days per week (flexible hours).
Linux basic knowledge Must.
Writing scripts in Python / Bash.
Good understanding of networking concepts.
Thorough and methodical approach to any task.
Proactive by nature; internal drive for excellence and improvement.
Fluent in English, good writing skills.
How will you stand out from the crowd:
Git, Jenkins, virtualization, containers, Kubernetes.
Cloud providers: AWS (preferred) / Azure / GCP.
Cloud monitoring tools such as CloudWatch, DataDog, ELK.
Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or an equivalent.
Configuration management using either Ansible, Puppet, Chef or an equivalent.
Familiarity with databases.
This position is open to all candidates.
