Cloud Automation Engineer

Main responsibilities: Design, implement, test, and maintain container platforms Azure Kubernetes Services, Google Kubernetes Engineer. Ensure accessibility, security, reliability, availability, and performance of infrastructure. Administer tools and processes to build, test, deploy, and monitor software. Provide technical guidance and educate team members and coworkers on development and operations. Evangelize a DevOps culture of automation, self-service, and engineering best practices to enable development teams to go from development to production with a minimum effort.
A copy of the full job description can be made available to you.
What we are searching for: Deep troubleshooting skills that involve analysis of logs, traffic trace, configuration data, automation tools to resolve issues until end-to-end systems are functioning. Experience with infrastructure provisioning tools such as Chef, Terraform, or Puppet in production environments with many nodes, and understanding of Linux and Windows Platforms. Experience deploying to and orchestrating containers in production environments (Docker, Kubernetes) Required ability to work across platforms and languages at all levels of the stack. A strong motivation for self-directed learning when called for to take on challenges to provide solutions in fast faced environment in areas API management, Microservices, DevOps and Common Frameworks. Development experience in designing/implementing large scale, distributed systems in production class software on public cloud platforms such as Azure and GCP.
Qualifications and Experience: Bachelor's or Master's Degree in Computer Science and/or equivalent combination of education and work experience. Minimum 3+ years of comprehensive experience with Azure including a solid understanding of CI/CD pipeline, Jenkins, Maven, Spring Boot. 7+ years of strong and proven experience in DevOps, Automation and/or Software development lifecycle. Proficiency in shell scripting and Python highly desirable.