AI-Driven Software Engineering Lead

LexisNexis

South Africa

On-site

ZAR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Country-specific benefits
Wellbeing initiatives
Parental leave and sabbaticals

Job summary

LexisNexis Reed Tech is seeking an Engineering Manager to lead AI-first engineering teams delivering modern cloud-based SaaS solutions. You will mentor engineers, shape technical direction, and drive secure, scalable software while embracing AI-assisted development.

You will guide discovery to production, manage performance, and foster strong engineering practices across architecture, security, and operations within a global life sciences software portfolio.

Qualifications

  • Experience delivering complex production software systems.
  • Experience managing direct reports including coaching and performance reviews.
  • Proficient with Claude Code or similar AI coding agents across planning, implementation, testing, debugging, review, documentation, and refactoring.
  • Strong hands-on experience building production web applications with C#, .NET, Angular, JavaScript/TypeScript, APIs, data models, services, UI, and background processing.

Responsibilities

  • Use Claude Code, Codex, GitHub Copilot, or other approved AI coding tools to plan, build, refactor, test, debug, review, and document production software.
  • Establish practical guardrails for AI-generated code, including repo-level instructions, review standards, secure coding expectations, automated checks, and clear human accountability.
  • Guide ideas from discovery and PoC through design, implementation, validation, release, and continuous improvement.
  • Design and implement web-based SaaS capabilities using C#, .NET, Angular, JavaScript/TypeScript, SQL, and modern web architecture patterns.
  • Build automated unit, integration, API, contract, and end-to-end tests where appropriate.
  • Improve CI/CD pipelines, branching and merging strategies, release practices, developer workflows, and containerized delivery with Docker and Kubernetes.
  • Build secure, resilient, observable Azure services using Key Vault, Application Insights, Service Bus, App Gateway, Azure SQL, Cosmos DB, and Azure Storage.
  • Manage direct reports through coaching, feedback, development planning, goal setting, performance reviews, retention, and mentoring.

Skills

Hands-on software engineering
Managing direct reports
Claude Code / AI agents
C# / .NET / Angular
Azure / DevOps
Docker / Kubernetes
CI / CD pipelines
Mentoring engineers

Tools

Claude Code
GitHub Copilot
Azure DevOps
Docker
Kubernetes
Git

Job description

LexisNexis Reed Tech is seeking an Engineering Manager to lead AI-first engineering teams delivering modern cloud-based SaaS solutions. You will mentor engineers, shape technical direction, and drive secure, scalable software while embracing AI-assisted development.

You will guide discovery to production, manage performance, and foster strong engineering practices across architecture, security, and operations within a global life sciences software portfolio.

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