Cape Town: Engineering Lead (C#, ASP.NET Core, Azure, T-SQL) (CPT) posted by DataFin Recruitment

About the Role

Join our Digital Technology team at DataFin Recruitment as an Engineering Lead, where you’ll be responsible for leading engineering practices using AI and aligning with industry standards and business goals. As a visionary and disciplined professional, you’ll continuously seek to reinvent engineering practices while ensuring alignment with strategic architectural direction.

Key Responsibilities

• Work with the Platform Solution Architect to provide hands-on oversight of detailed architecture and design across Engineering squads.
• Ensure alignment with strategic architectural direction while bridging the gap between high-level architecture and day-to-day Engineering decisions.
• Review and validate technical analysis outputs before development begins to ensure feasibility, alignment with standards, and accurate estimation.
• Work with Product Owners and external partners to align API capabilities with client needs and platform strategy.
• Provide technical leadership for external API integrations, ensuring secure, scalable, and well-documented interfaces.

• Effectively manage Engineering impediments for Engineers.
• Continuously evaluate and manage access controls to maintain security and relevance.
• Champion Engineering best practices including CI/CD, automated testing, secure coding standards, and preventative quality tooling.
• Define and enforce coding standards, peer review protocols, and automated quality gates (e.g., static analysis, performance checks, pipeline enforcement).
• Ensure quality gates cannot be bypassed under delivery pressure without structured governance.
• Promote a culture of clean, maintainable, performant, and scalable code.
• Lead initiatives to improve development velocity through intelligent automation and tooling without compromising reliability.
• Identify, source, and embed tools that improve Engineering quality and prevent production issues before they occur.
• Ensure Engineering output improves in both speed and quality through automation, AI-assisted tooling, and Preventative Engineering practices.

• Own the roadmap for addressing platform-wide technical debt, including vendor deprecations, mandated upgrades, and Cybersecurity vulnerabilities.
• Collaborate with InfoSec and Infrastructure teams to ensure timely remediation of risks.
• Plan and prioritize Engineering work that safeguards platform stability and compliance.

• Identify and implement AI-assisted tooling for code generation, automated reviews, test generation, performance validation, and static analysis.
• Embed AI code review capabilities where appropriate.
• Introduce preventative automated tooling so quality issues are detected before reaching production.
• Ensure responsible use of AI through governance, human oversight, and Engineering alignment.
• Measure the impact of automation and AI adoption on quality, output, defect rates, and production stability.
• Drive continuous improvement in Engineering practices through intelligent automation.

Requirements

### Qualifications

• BSc Degree Level, or similar, in Mathematical, Computing or Engineering preferred.

Experience/Skills

• Minimum of 5 years actively working with micro-service architectures in a Full Stack capacity, including Azure technologies, programming languages such as C#, and databases languages such as T-SQL.
• Strong experience with .Net Core preferable, including C#, ASP.NET Core, etc.
• Strong experience with UI frameworks, e.g. Angular, React, Vue.
• Experience working in the Azure Cloud stack, including services like App Services, Function Apps, Redis, Service Fabric, API Manager, Azure SQL, CosmosDB, Databricks, Event Grid, Data Factory.
• Experience implementing automated Test-Driven Development approach and Continuous Testing.
• Experience working with a variety of database technology such as SQL, No SQL, file storage.

### Advantageous

• Experience with source control and automation tools, particularly the Azure DevOps suite, would be advantageous.
• Experience working with micro-service APIs, particularly in containerized implementations advantageous (e.g. Service Fabric).
• Advantageous to have prior knowledge of Asset Management industry, especially relating to investment systems and processes.

Attributes