Software Engineering Lead – Fully Remote

SUMMARY:
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POSITION INFO:
ENVIRONMENT: Our client is a growing South African fleet-management software company and they are seeking a Software Engineering Lead to take ownership of how they build their product. Reporting directly to the CEO, you will lead a small, capable development team, remain hands-on with the codebase, and set the technical direction of the platform as the business grows.  This is a hands-on leadership position, equal parts builder and leader, suited to an engineer who is ready to take full ownership of both a team and a technical architecture, and to grow with the company over the long term.   DUTIES: •       Lead and develop the engineering team. •       Guide and grow a small team of developers (initially two to three), setting standards, removing blockers, and maintaining delivery momentum. •       Translate business priorities received through Account Managers into a clear product roadmap and successfully delivered software. •       Remain hands-on by reviewing code, pairing on complex problems, and contributing directly when the team requires support. •       Lead from the front and foster engineering excellence. •       Own architecture and infrastructure, driving key technical decisions relating to system design, platform direction, scalability, and overall technical delivery. •       Champion the use of AI by evaluating, introducing, and embedding modern AI tools (such as Claude) across the engineering team and wider business where they add measurable value.   REQUIREMENTS:  •       Be based in South Africa and available to work South African business hours. •       Have approximately 5–8 years of software development experience, including experience leading or mentoring developers. •       Demonstrate strong software architecture fundamentals with a proven track record of building reliable, scalable systems. •       Be comfortable operating as both a technical leader and an individual contributor within a lean, agile team. •       Apply modern engineering practices, including version control, code reviews, automated testing, and CI\/CD. •       Be a confident, day-to-day user of AI development tools. •       Experience in a startup or early-stage environment is advantageous. •       Have successfully led or mentored engineers and be ready to take full ownership of a development team and technical direction. •       Be motivated by building and improving products in an early-stage environment. •       Take initiative and demonstrate a genuine ownership mindset. •       Be actively engaged with AI technologies and already apply them effectively in day-to-day work.