Category
Administrative Positions
Type
Full time
Description
The Senior Software Engineer is responsible for end-to-end software development cycle (gather requirements, analyze, develop, test and deploy). Enhance, troubleshoot, support, integrate and maintain existing applications.
Main roles & responsibilities
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Analyze, design, develop and deploy software solutions following software development best practices.
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Develop web services and APIs. Integrate existing systems, including SSO integration.
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Adopt the cloud native services (RDS, serverless, auto deployment, etc.).
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Monitor, maintain, customize, upgrade, and develop reports for applications.
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Document system requirements, technical specifications, workflows and comment developed code.
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Test software before deployment using functional, unit, stress, regression, smoke and other testing.
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Give second level support to the IT support team escalations and manage business support requests.
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Research and recommend new technologies to improve system performance and reliability.
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Follow best practices for securing applications and data. Report any security related issues immediately to line manager and to the AIT ISM. Implement all ISMS manual guidelines.
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Adhere to internal and local information security and relevant health and safety laws, regulations, policies, and procedures.
Required qualification & skills
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Bachelor’s degree in computer engineering, computer science or a related field from an accredited university.
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PHP / .NET / Mobile certifications.
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AWS Cloud Developer certifications.
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For Smart Learning: PHP, HTML, CSS, Laravel, Drupal, Moodle, Zend Framework, WordPress.
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For e-Enterprise: .Net, SharePoint Online, C#, SOAP, Dynamics GP, Salesforce, Banner, K2.
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For Mobile and Wearable: Swift, XCode, Java, Kotlin, Eclipse, Ionic, Flutter, React Native.
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Cloud services, Web services, REST APIs, Caching, Queuing, Source control (GIT / Azure DevOps).
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JavaScript frameworks (React, Angular, Vue), Databases (MySQL, MSSQL, Oracle).
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Knowledge of AI and ML fundamentals
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Ability to develop and implement AI and ML models
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Knowledge of AI and ML best practices
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Understanding of AI and ML optimization techniques
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Time and project management skills.
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Analytical and problem-solving skills.
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Interpersonal, communication and soft skills.
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Ability to work under pressure and in a diverse culture.
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Excellent communication skills in English language; Arabic language is an advantage.
