Site Reliability Engineer

Purpose of the Role

Design, test, implement, deploy, and support continuous integration pipelines that build and deploy to cloud-based environments (development, stage/testing, production). In this role, you will help us build the foundation for our future technology platforms by setting standards around cloud-native patterns, which will inform and be the driving factor in system wide strategic cloud transformation journey.

• Write infrastructure code and test cases code
• Deploy and configure monitoring and logging tools used for generating alerts about the health of our systems and applications
• Help with the design, building, and automation of cloud-based infrastructure and provide guidance to development teams regarding how they can continually improve their applications cost, performance, and reliability through investigation, analysis, and best practice recommendations
• Work in a Cloud Native infrastructure environment built to host and support true micro services architecture applications.

Mandatory Skills

• 6 - 12 years in a professional cloud computing role with Kubernetes, Docker and Infra-as-Code experience.
• Experience in design, implementation, and deployment of large-scale, highly available, cloud-based infrastructure utilizing AWS, GCP, Azure or other public cloud providers.
• Strong collaboration skills with multiple IT functions, business leaders and vendors, exhibiting excellent teamwork and strong verbal and written communication skills along with expert troubleshooting and analytical skills.
• In depth knowledge of cloud-native application development paradigms and tools
• Strong know-how with the current trends of large-scale infrastructure environments with proven success in the deployment of resilient cloud-native solutions.
• Thorough knowledge of scripting and programming languages such as Bash, Python, Java, C#, NodeJS.
• Experience with source code control systems, branching and merging strategies, automated unit testing frameworks, automated build tools, and automated deploy frameworks.
• Deep working knowledge of serverless and container-based technologies such as Lambda, Docker, Kubernetes, and container platforms such as Rancher Labs or RedHat OpenShift.