Senior Kubernetes Platform Engineer, Cloud Computing Technologies Agile Development Labor Rate builds and operates highly scalable, fault tolerant, elastic, reliable and secure services in a distributed system of hardware with varying reliability guarantee. Defines and implements state-of-the-art technical solutions, including capabilities to support elastic scalability, on-demand self-service, disaster recovery, and usage-based consumption, which allows customers solve most complex data analytics challenges. Sets up, delivers and refines a platform engineering roadmap to enable all platforms and products remain current. Coordinates all the activities of members of the development team and delivers value to product engineering teams, in addition to assisting and supporting the needs of internal stakeholders regarding scalability, resilience, security, capacity, as well as operational maintenance. May have Bachelor’s degree and/or MSc degree from any accredited institution in a relevant course of study or an equivalent of required education and experience. May have more than 11 years of experience in this field, in addition to a minimum of one year of satisfactory full-time experience as a professional in an IT, technical or engineering environment in one or a combination of the following: computer science, computer engineering, computer information systems, management information systems, public safety services, public health services, public administration, software engineering, financial services, or any other relevant areas related to information technology & services, computer software, and financial services. Demonstrates high level of proficiency with at least two general-purpose computer programming languages such as Python, Java, C++, Go, Kotlin, Scala Typescript/NodesJS, and other related database languages. Possesses vast knowledge of infrastructure as code concepts and tools (Kubernetes, Terraform, Ansible, CloudFormation, etc.) and strong fundamentals of virtualization and containerization technologies such as Docker. Showcases solid computer science background in data structures, algorithm design, and complexity analysis. Offers expertise on technology platforms across the organization as required, in order to support management teams and overall development activities in building complex, dynamic products and services. Coordinates and directs the activities of Kubernetes Platform Engineer I, II, and III.
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