Senior Engineering Lead / Tech Lead

Role Purpose The Senior Engineering Lead will provide hands-on technical leadership across the core mobility and data platform. This role owns technical decision-making, architecture integrity, and engineering execution, ensuring predictable delivery aligned to the agreed customer journey and product roadmap. This role is critical to stabilising delivery and providing the development team with clear direction, standards, and accountability. Key Responsibilities: Technical Leadership Own the technical architecture of the core mobility and data platform Make day-to-day engineering decisions to unblock delivery Ensure solutions are scalable, secure, and reusable across the ecosystem Protect the integrity of the core product (no ad-hoc client builds) Delivery & Execution Lead the development teams execution across app, dashboard, integrations, and data flows Translate product requirements into clear technical plans Oversee code quality, environments, releases, and technical debt Work closely with outsourced partners to ensure standards and continuity Team Leadership Provide direction, mentoring, and coaching to junior and mid-level developers Establish consistent engineering practices (code reviews, standards, SDLC discipline) Be the technical authority within the team Integration & Ecosystem Own third-party integrations (clients, providers, wearables, partners) Ensure API consistency, data flow integrity, and integration scalability Experience & Skills 8–12+ years software engineering experience Proven experience as a Tech Lead / Senior Engineer in a product-led environment Strong backend engineering background (APIs, integrations, data flows) Experience working with mobile applications and analytics platforms Comfortable working with in/outsourced teams Strong decision-making and communication skills Health, mobility, logistics, or data-heavy platform experience Cloud-native architecture experience Success Measures (First 6 Months) Clear technical ownership and reduced delivery ambiguity Improved delivery predictability and code quality Stabilised engineering practices Reduced reliance on advisory intervention for day-to-day execution