Engineering Lead (C#, ASP.NET Core, Azure, T-SQL) (CPT) at Datafin Recruitment

ENVIRONMENT:

• JOIN the Digital Technology team of an Independent Asset Management Firm seeking an Engineering Lead who is a visionary and disciplined professional who continuously seeks to reinvent Engineering practices using AI, while aligning with industry standards and business goals.
• The successful candidate must possess a BSc Degree Level, or similar, in Mathematical, Computing or Engineering preferred with at least 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.
• You will also need strong C#, ASP.NET Core, 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.

DUTIES:

Detailed Architecture Design, Oversight & Technical Governance -

• 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.

Engineering Enablement, Automation, Productivity & Quality at Scale -

• Effectively manage Engineering impediments for Engineers.
• Continuously evaluating and managing 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.

Platform Security, Resilience & Availability -

• 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.

Automation & AI-Centred Engineering -

• 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.

Strategic Collaboration & Partner Engagement -

• Serve as the technical liaison between internal teams and external partners during Engineering discussions.
• Collaborate with the Platform Architect and Delivery Manager to ensure cohesive planning and execution.
• Represent Engineering in strategic forums and contribute to platform vision evolution.

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:

• Attention to detail and high level of accuracy.
• Strong problem-solving ability, a logical thinker and numerate.
• Willing to share knowledge and coach other team members, as well as learn from them.
• Strong collaboration ethic, with ability to work in teams from cross-functional disciplines.