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Job Title
Senior Software Developer
Employment Type
Full Time
Experience
5 to 10 years
Salary
Negotiable
Job Published
13 January 2026
Job Reference No.
2503679225

Job Description

The primary purpose of this role is to develop and maintain our in-house Automated Meter Reading (AMR) platforms and related energy management products. This role involves full-cycle software development, from design and implementation to testing and support.

What you'll do:

  • Analyse system requirements and design robust software solutions.
  • Develop new software systems and sub-systems.
  • Maintain and enhance existing software products.
  • Create and maintain technical documentation (release notes, test specs, user manuals).
  • Conduct unit, integration, and end-to-end testing.
  • Provide second-line technical support for software-related issues.
  • Assist in user training and develop training materials.

Your Expertise:

  • Function related experience: Min 5 year of experience in software development within a scientific, industrial or technical environment.
  • Leading teams: 2-5 years
  • Project experience: 5 years
  • Strong proficiency in:
    • Web services and APIs
    • Microsoft SQL Server technologies (including SSRS)
    • .NET stack and C# (C/C++ experience is a plus)
  • Experience with version control systems (e.g., Git) and CI/CD pipelines.
  • Proven track record in product design and delivery.
  • Personal Attributes:
    • Strong analytical and fault-finding skills.
    • Quick learner with adaptability to new technologies.
    • Effective team player with good communication skills.
    • Ability to perform under pressure and meet deadlines.

Qualifications:

  • Essential Qualifications:
    • Matric Certificate
    • B.Sc in Computer Science or B.Eng. in Computer, Electronic or Electrical Engineering
  • Preferred Qualifications:
    • Knowledge of energy management systems or IoT technologies
    • Experience with user experience (UX)-centric design and development
    • Exposure to analytics, data science, or AI/ML technologies
    • Experience with cloud platforms (e.g., Azure, AWS)
    • Familiarity with containerization (Docker, Kubernetes)

Skills

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