Software Engineer – AI & Cloud Development

Key Responsibilities Software Development & AI Implementation

Design, develop, and maintain scalable, resilient cloud-native applications using modern programming languages and frameworks.

Implement AI-powered features by integrating machine learning models, APIs, and cloud AI services into production environments.

Write clean, maintainable, and well-documented code following established coding standards and software engineering best practices.

Participate in code reviews, technical design discussions, and architecture reviews to ensure high-quality solutions.

Develop and maintain automated testing frameworks to ensure application reliability and performance.

Create and maintain technical documentation, architecture diagrams, and engineering decision records.

Cloud Development & Deployment

Build and deploy applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

Develop microservices, containerized applications, and serverless solutions as part of enterprise-scale architectures.

Collaborate with DevOps teams to implement CI/CD pipelines and streamline deployment processes.

Monitor, troubleshoot, and optimize application performance in cloud environments.

Agile Team Collaboration

Actively participate in Agile ceremonies including daily stand-ups, sprint planning, sprint reviews, and retrospectives.

Work closely with Lead Developers, Product Owners, and cross-functional stakeholders to deliver high-quality features within sprint commitments.

Contribute to story estimation, task breakdown, sprint planning, and continuous improvement initiatives.

Share knowledge with team members and support a culture of collaboration, innovation, and continuous learning.

Required Qualifications

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 containerisation 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.

Experience:

Python/JavaScript/Golang : 2 years (Required)

AI coding : 1 year (Required)

cloud-based applications: 1 year (Required)

Work Location: In person