Lead Software Engineer – AI-Powered, Secure & Scalable

Edgexec (Pty) Ltd

Johannesburg

On-site

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

Full time

8 days ago

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Job summary

Edgexec (Pty) Ltd in Johannesburg is seeking a Lead Software Engineer to drive technical direction while staying hands-on across full stack development, architecture and AI-enabled product initiatives.

You will mentor engineers, shape engineering standards, participate in design decisions and collaborate with Product, QA, DevOps and security teams to deliver scalable, secure software in a fast-paced, regulated environment.

Qualifications

Bachelor's Degree at NQF Level 7 in Computer Science, Software Engineering, Information Technology or a related discipline.
10+ years of professional full stack software engineering experience.
At least 3 years' experience in a Lead or Senior Engineering role providing technical direction, code review and mentorship.
Strong hands-on experience across front-end, back-end, API and database development.
Production experience with modern back-end technologies such as .NET/C#, Node.js or Java/Spring.
Strong experience with Angular, React/Next.js, Vue/Nuxt, Svelte or comparable modern front-end frameworks.
Advanced TypeScript and modern JavaScript capability, together with strong HTML5, CSS3 and responsive design fundamentals.
Experience with component-driven architecture, state management and modern front-end tooling.
Familiarity with technologies such as NgRx, Redux, Pinia, Zustand, Vite, Webpack, npm, pnpm, Storybook, Material and Tailwind CSS.

Responsibilities

Design, build, test and deploy end-to-end features across front-end, back-end, API and database layers
Own technical solution design, including data models, API contracts, UI patterns and third-party integrations
Provide technical direction across a development squad while remaining actively involved in production engineering
Define and maintain coding, branching, testing and engineering standards
Lead architectural and technology decisions and document key decisions through appropriate design documentation and ADRs
Establish scalable reference architectures across front-end, services, APIs and data layers
Conduct code reviews and facilitate pair and mob programming to improve technical quality
Champion CI/CD, automated testing, observability, trunk-based development and DevSecOps practices
Use delivery metrics to identify opportunities to improve engineering flow, quality and developer experience
Mentor engineers across different levels and support targeted technical development
Participate in technical interviews, onboarding and capability-building initiatives
Partner with QA to establish appropriate unit, integration, contract, end-to-end and performance testing strategies
Identify technical, delivery and security risks and drive appropriate mitigation
Embed secure-by-design principles, OWASP practices and applicable compliance requirements into development
Drive remediation of technical debt, vulnerabilities and production incidents
Translate business requirements into practical, scalable technical solutions
Maintain clear technical documentation, including architecture diagrams, API specifications, runbooks and READMEs
Champion effective and responsible use of AI coding assistants such as GitHub Copilot, Claude Code, Cursor and ChatGPT
Help define safe practices for AI-assisted engineering, including human review, data protection, IP considerations and evaluation
Design and deliver production AI capabilities using technologies and patterns such as LLMs, prompt engineering, RAG, embeddings, vector databases and function or tool calling