Software Engineer - Multicloud Integration - AI & LLM Systems

A Software Engineer is responsible for designing, developing, testing, and maintaining high‑quality software applications that meet business and technical requirements. As a core member of the delivery team, the engineer translates user stories into working solutions, contributes to system design, ensures code quality, and collaborates closely with architects, testers, and analysts to deliver scalable, secure, and reliable systems.

Responsibilities

Software Development & Maintenance
Develop, test, and maintain scalable, maintainable, and efficient code based on technical specifications and user stories. Troubleshoot and resolve bugs, performance issues, and system outages. Write and maintain clear and structured technical documentation.

System & Technical Design
Participate in system and application design discussions. Provide input on technical decisions and contribute to architectural considerations.

Cross‑Functional Collaboration
Work with business analysts, solution architects, QA engineers, and other developers to deliver high‑quality features. Participate in sprint ceremonies, refinement sessions, and planning discussions.

Code Quality, Standards & Security
Conduct code reviews to ensure adherence to coding standards, security guidelines, and best practices. Apply secure coding techniques and support testing activities (unit, integration, E2E).

DevOps & CI/CD Enablement
Contribute to the development and optimisation of CI/CD pipelines and deployment processes. Support automation and DevOps practices to improve delivery efficiency.

Continuous Learning
Stay updated on emerging tools, frameworks, and engineering best practices. Continuously enhance skills in programming, architecture, and DevOps.

Requirements:

• 5 years of relevant software engineering or development experience.
• Proficiency in one or more programming languages (e.g., Java, Python, JavaScript/TypeScript, C#).
• Hands-on experience with web frameworks such as React, Angular, Node.js, .NET, or Spring Boot.
• Familiarity with RESTful APIs, microservices, and backend architecture principles.
• Experience with version control systems (e.g., Git) and CI/CD tools.
• Exposure to Docker, Kubernetes, or container-based deployments.
• Understanding of relational and/or NoSQL databases (e.g., SQL, PostgreSQL, MongoDB).
• Knowledge of secure coding, performance optimisation, and software testing (unit, integration, E2E).
• Familiarity with Agile methodologies such as Scrum or Kanban.

Preferred Attributes

• Experience working in cloud environments (Azure, AWS, GCP).
• Strong analytical and problem‑solving skills with attention to detail.
• Ability to write clean, maintainable, and well‑documented code.
• Strong communication and collaboration skills in cross‑functional teams.
• Passion for continuous learning, experimentation, and adopting modern engineering practices.
• Experience building scalable distributed systems or event‑driven architectures.

Professional and/or Technical Certifications

• Cloud certifications (e.g., AWS Developer Associate, Azure Developer Associate, Google Associate Cloud Engineer).
• DevOps or CI/CD certifications (e.g., Azure DevOps, AWS DevOps Engineer, Docker, Kubernetes/CKA).
• Programming certifications (e.g., Oracle Java, Microsoft .NET).
• Agile certifications (e.g., Scrum Master, AgilePM).

Interested candidates may send their CV to MAC(Reg No. R1221300) at [Confidential Information] quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.