Cloud Engineer

To design, code, test, debug and correct programs in software engineering environments within the continuous delivery pipe line as well as provide support and maintenance of systems. In addition, produce software specifications in accordance with the technical requirements, within the framework of the software quality assurance standards.

Requirements

Minimum Qualifications
Type of Qualification: First Degree
Field of Study: Information Studies

• AWS Cloud Practitioner Certificate
• AWS Solutions Architect Certificate
• FinOps Practitioner Certificate

Experience Required
Software Engineering

• Experience in working on AWS and/or cloud platform engineering space. Having worked on AWS and/or Azure cloud environment where AWS and/or Azure managed services played a role will be advantageous.
• Experience and knowledge of deploying and supporting workloads on AWS and/or Azure following the well architected framework. Experience in the implementation of cost & performance optimization, identifying and resolve performance bottlenecks in the cloud environment to ensure optimal service delivery.
• 2-5 years of solid Integration and IT background, consistently keeping up-to-date with advancements in the field. Knowledge of Agile and Lean frameworks, methods and practices and experience in being a catalyst for organisational change. Experience working with cross-functional teams fostering collaboration and team work. Good understanding of the Standard Bank IT environment will be advantageous.
• 2-5 years of experience in managing IT incidents and outages effectively, conducting root cause analysis and implementing preventative measures.

Additional information

Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Checking Details
• 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 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