The Engineer, Software (Cloud) is responsible for designing, coding, testing, debugging, and maintaining programs in development environments. The role applies agreed standards and tools to deliver well-engineered solutions, working under the supervision of senior technical resources within strict programming standards.

The Role

• Design, develop, and maintain software applications following agreed development methodologies and principles.

• Collaborate with stakeholders to deliver solutions that add value to clients.

• Develop code, build, assemble, implement, test, and perform data conversions for applications.

• Conduct system enhancements and ensure accurate documentation of processes.

• Execute end-to-end system and program tests to verify compliance with technical requirements.

• Contribute to data processing, analysis, and visualization platforms integrating new and existing data sources.

• Ensure continuous delivery, deployment, and operation of engineering objectives.

• Engage with leads for feedback and communicate any issues, risks, or progress to foster continuous development and learning.

Requirements

Qualifications:

• Degree in Information Technology.

Experience:

• 5–7 years translating business and functional requirements into technical specifications and developing programming code.

• 8–10 years’ experience in modern engineering practices including DevOps and Agile.

• Hands-on Azure Cloud experience with Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).

• Data engineering skills using Azure Synapse Analytics Studio.

• Experience in data modeling and ETL processes.

• Familiarity with Azure DevOps and SAFe agile practices.

• Knowledge of data engineering tools in Microsoft Azure such as Synapse and Azure Data Factory.

• Knowledge of Azure DevOps setup and management.

• Knowledge of Microsoft Fabric is preferred.

Additional Information

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 Service Level Management

• Software Engineering Tools

• Software Foundations

• System Integration

• Test-driven Design (TDD)