DevOps Engineer having technical, analytical expertise to configure, implement, deploy and manage Continuous Integration for projects and products with the following qualifications:
Experience in CI/CD technologies such as branching concepts, Jenkins, Containerization (Docker, Kubernetes, ) and Automation
Excellent software engineering skills and knowledge of scripting languages such as Python, Bash, PowerShell
Experience in interface programming and design e.g. against central IT systems such as Jira would be beneficial
Intrinsically motivated and self-sustained work ethics
Continuous improvement mindset
Innovative, able to find solutions to complex problems
Skills
Cloud Provider
Amazon Web Services
Azure
Infrastructure Management Strong knowledge on setting up Infrastructure as Code
Terraform
Continuous Integration and Deployment
Jira, Bitbucket, Jenkins, SonarQube, Artifactory, Kubernetes, etc.
Scripting Languages
Python, Bash, PowerShell etc.
Job Responsibilities:
Our Automation Assets Engineers design, develop and maintain an ever-growing suite of best-in-class automation tools and other assets to improve the day-to-day engineering efficiency in our business.
You will work in an agile and international operating environment where you will be supporting engineering teams with the adoption and deployment of automation assets to support their Continuous Integration & Deployment (CI/CD) pipelines.
You will collaborate with the engineering teams and business leaders to assess needs and develop solutions applicable across the entire solution portfolio.
You will be responsible to implement CI/CD automation frameworks and assets making the best use of existing engineering infrastructure such as Jira, Bitbucket, Jenkins, SonarQube, Artifactory, Kubernetes, etc.
You will support the development of the engineering infrastructure collaborating with the core infrastructure team on new tools to provide extended use cases.
Keyskills: software engineering automation tools continuous integration continuous improvement automation frameworks