Software Development & AI Implementation

1. i. Develop scalable, resilient cloud-native applications using modern programming languages and frameworks.
2. ii. Implement AI features by integrating machine learning models, APIs, and cloud AI services into production applications.
3. iii. Write clean, maintainable, and well-documented code that addresses real user needs, following established coding standards and best practices.
4. iv. Participate in code reviews, technical design discussions, architecture reviews and contribute to continuous improvement of development processes.
5. v. Contribute to robust automated testing frameworks and create comprehensive technical documentation and decision records.

Cloud Development & Deployment

• Build applications leveraging cloud platforms such as AWS, Azure, or Google Cloud Platform, utilising their core services and AI capabilities.
• Develop microservices, containerised applications, and serverless functions as part of larger system architectures.
• Collaborate with DevOps teams to deploy applications through CI/CD pipelines and monitor application performance in cloud environments.

Agile Team Participation

• Actively participate in agile ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives.
• Work collaboratively with the Lead Developer,product owners, and cross-functional team members to deliver features within sprint commitments.
• Contribute to story estimation, task breakdown, and sprint goal achievement whilst embracing agile principles and continuous learning.

• Bachelor's degree or higher in Computer Science, Software Engineering, or related field, or equivalent practical experience, preferably with minimum 3 years of experience in software engineering roles with exposure to cloud-based applications.
• Proficiency in at least one modern programming language such as Python, JavaScript, Golang or similar. Strong foundation in computer science concepts including data structures, algorithms, Object-Oriented Programming principles, with knowledge in database concepts (SQL, No-SQL) and CI/CD pipeline (GitHub workflows);
• Familiar with web development technologies (HTML,CSS, JavaScript), API Design, DevOps principles, version control (Git), software development lifecycle and testing methodologies.
• Basic experience with cloud platforms such as AWS, Azure, or GCP, and understanding of cloud services. Familiarity with containerization concepts (Docker) and API development.
• Experience working in agile development environments using Scrum or Kanban methodologies
• Experience working with AI coding assistants (e.g. Github CoPilot, Claude Code); and
• Good communication skills and ability to work effectively in a collaborative team environment, willingness to learn from senior team members and contribute to team knowledge sharing, and committed to writing clean, readable code and delivering quality work within established timelines.