Job Description

To develop, design and maintain the solution architectures for specific business functional/technical areas. To participate in the definition of the higher-level functional and non-functional requirements, analyse technical trade-offs, determine the major components and subsystems, and define the interfaces and collaborations between them, safeguarding the strategic alignment of technology architecture with the agreed business outcomes. The role also supports the assessment and adoption of emerging technologies, data capabilities and AI-enabled solutions to drive innovation and business value.

Required

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)
• 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
• Service Level Management
• Software Engineering Methods
• Software Engineering Tools
• Software Foundations
• System Integration
• Test-driven Design (TDD)
• Threat Modelling
•  

• To develop, design and maintain the solution architectures for specific business functional/technical areas.
• To participate in the definition of the higher-level functional and non-functional requirements, analyse technical trade-offs, determine the major components and subsystems, and define the interfaces and collaborations between them, safeguarding the strategic alignment of technology architecture with the agreed business outcomes.
• The role also supports the assessment and adoption of emerging technologies, data capabilities and AI-enabled solutions to drive innovation and business value.

• Software Engineering
• Agile Engineering
• API Engineering
• Automation
• Cloud Computing
• Continuous Delivery (CD)
• Continuous Deployment
• Continuous Integration (CI)
• 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
• Service Level Management
• Software Engineering Methods
• Software Engineering Tools
• Software Foundations
• System Integration
• Test-driven Design (TDD)
• Threat Modelling

• First Degree in Information Studies
• First Degree in Information Technology
• Experience in multiple IT disciples e.g. Dev Hardware, analysis, design, service management, architecture.