Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

To design, code, test, debug, and maintain programs in development environments. Apply agreed standards and tools, to achieve a well-engineers result. Work within a strict framework of programming standards under supervision of senior technical resources. 

Type of Qualification: First Degree in Information Technology

Experience Required
Software Engineering
Technology

• 5-7 years - Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
• 8-10 years - Proven experience in modern engineering practices i.e. dev ops, agile etc., Proven experience across multiple, broad IT Engineering disciplines, with demonstrated specialisation in at least one. Experience within the required scope of expertise.

Skills Required: 

• Cloud Architecture & Infrastructure (AWS):
• Deep understanding of modern elastic cloud architecture patterns.
• Solid grasp of cloud networking fundamentals.
• Requirement: Relevant AWS accreditation/certification required to operate within the Standard Bank Group (SBG) AWS environment.
• Preferred: Knowledge of SBG cloud architecture standards is a strong plus.
• Systems & Environment:
• Proficient with Linux-based operating systems and core system administration basics.
• Strong command-line comfort, including writing, debugging, and running scripts.
• Software Development & Integration:
• Language: Strong Python programming skills and a working knowledge of the Python data ecosystem.
• APIs & Design: Expertise in building and consuming APIs (REST/GraphQL) alongside a solid understanding of system design and integration patterns.
• Data & Containerization:
• Databases: Strong proficiency in SQL and database management.
• Containers: Hands-on experience with containerization technologies (Docker).

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Checking Things
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data
• Managing Tasks
• Producing Output
• Taking Action
• Team Working

Technical Competencies:

• Agile Engineering
• API Engineering
• Automation
• Cloud Computing
• Continuous Delivery (CD)
• Continuous Deployment
• Continuous Integration (CI)
• Core Systems
• Data Engineering
• Design Thinking
• Error Budgets
• Incident Response
• Infrastructure as Code (IaC)
• Knowledge Management
• Microservices
• Non-abstract Large System Design (NALSD)
• Observability (Application and Web Analytics)
• Platform Engineering
• Policy as Code
• Post-incidence Analysis
• Reliability and Resilience
• Security Engineering
• Service Level Management
• Software Engineering Methods
• Software Engineering Tools
• Software Foundations
• System Integration
• Test-driven Design (TDD)
• Threat Modelling