problems. Qualifications Matric Degree or equivalent Requirements 4 years C# Experience Ability to develop DevOps principals Experience in cloud services preferred – AWS, Azure. Experience with containerisation containerisation Experience working with agile methodologies For More information please contact Andrea Pilusa ap
years management experience on top of his/her development experience including experience with estimations in solution design and creation. Architecture experience is required. Consultancy background preferred passport and willingness to travel internationally. Experience as a spokesperson or part of the development contribute insights. On offer: Salary based on experience Hybrid working model Flexible work and leave
Requirements: 3 to 8 years software engineering experience Experience with AWS serverless products and infrastructure DevOps Architecture and technical leadership experience Experience in mission critical / 24x7 production system
technologies would be beneficial. Experience: 1-3 years of professional experience in telephony engineering or protocols. Hands-on experience with telephony hardware and software components. Experience with telephony
with your experience in C#, .NET, Angular, MS SQL, Microservices architecture and Jira experience. Qualifications: in the finer details C#, .NET, Angular, MS SQL experience Minimum 5 years in a lead role KPAs: Design and
Science Candidate Requirements: 1 to 5 years' experience (Grad's welcome – please attach transcripts) effectively communicate with colleagues The following experience is required: C# ASP .NET WEB Applications MVC
related field. Requirements: Minimum of 3 years of experience in a similar role. Strong knowledge of data analysis visualization tools such as SQL, R, Python, and Tableau. Experience in developing and implementing predictive models
Navigate the data seas with a minimum of 3 years of experience in a similar role. Command your ship with expert Python, and Tableau. Chart your course with experience in developing and implementing predictive models