Software Engineer (Risk Tech) (14104) at Investec

Key Responsibilities

• Design, develop, and maintain backend services using C#/.NET, including APIs and background services.
• Build and optimize data access layers using SQL and ORM frameworks (Entity Framework Core).
• Develop and integrate cloud-based solutions using Azure services (compute, messaging, storage, identity).
• Modernize legacy systems through refactoring and modular design patterns.
• Deliver software through CI/CD pipelines, ensuring reliable and continuous deployment.
• Apply automated testing practices and support a test-driven development culture.
• Implement and maintain observability (logging, monitoring, alerting).
• Troubleshoot and resolve production incidents, including root cause analysis and remediation.
• Investigate and resolve escalated issues across business hours and support periods.
• Ensure compliance with security, regulatory, and audit requirements.
• Support containerized deployments and Infrastructure as Code practices.
• Collaborate with cross-functional teams to deliver end-to-end solutions.
• Contribute to code reviews, design discussions, and continuous improvement initiatives.
• Support and maintain front-end components (Angular) where required.

Qualifications, Experience and Skills

• 5–7 years' experience delivering production-grade software systems.
• Strong C#/.NET backend development experience (Core/8/10, REST APIs, background services).
• Intermediate SQL skills and ORM experience (Entity Framework Core).
• Experience with Azure services, including containerized workloads (Docker, AKS, Azure Container Apps) and data/integration services (e.g. Azure Data Factory, messaging, storage, identity).
• Experience with CI/CD pipelines and Infrastructure as Code (Bicep or Terraform).
• Practical experience with automated testing (unit, integration, component).
• Experience working with legacy systems and modernization approaches.
• Ability to understand and contribute to Angular-based front-end components.
• Certifications: AZ-900 (required), AZ-204 (preferred or in progress)
• Strong communication skills, with the ability to articulate technical concepts and trade-offs.
• Experience or interest in regulated environments with an understanding of compliance and audit requirements.
• Proficiency in using AI-enabled productivity tools, such as Copilot, to improve efficiency, generate insight and support decision-making in a controlled, quality-driven manner. Applies critical thinking and sound judgement when interpreting outputs, remains accountable for the quality and accuracy of their work.