Senior Lead Software Engineer
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Role details
Tech stack
Job description
Competitors are accelerating their app offerings, and this business needs a hungry, execution-focused lead to step in, write great code, speed up product development, and integrate software seamlessly with physical devices.
- 100% Hands-On Execution: Stay close to the codebase day-to-day-setting technical standards, building key features, and solving complex architectural challenges.
- Hardware/Software Bridge: Act as the direct technical link connecting mobile software to physical hardware via Bluetooth Low Energy (BLE).
- Team Guidance & Delivery: Work alongside and organize a small core of 3-4 internal developers and specialist external dev partners to ensure rapid, high-quality delivery.
- AI Tooling & Velocity: Embed modern AI development tools directly into your engineering workflow to maximize speed and code quality.
- Future Growth: Take ownership of a clean slate-as the product and app user base expand, your position and the engineering organization will evolve naturally around you.
Requirements
Are you an ambitious, hands-on Senior Developer or Technical Lead who loves getting into the code and connecting mobile software with physical hardware? We are partnering with a high-growth, globally distributed consumer technology scale-up (100+ team across UK, EU, Aus, and Asia) operating at the intersection of science, health, and human performance., * Hands-On Mindset (Non-Negotiable): You must actively enjoy being in the code day in, day out, and be genuinely excited to stay hands-on as the company grows.
- Product Context: Background working in consumer wearables, smart products, connected devices, hoop/fitness tech, or IoT-based mobile apps.
- Tech Stack Familiarity: Hands-on experience with cross-platform mobile (Flutter/Dart), white-label codebase architectures, cloud backends (Firebase/Cloud Functions), and BLE device protocols.
- Practical AI Fluency: Active use of modern AI developer tools to accelerate personal and team productivity.
- Data Integration: Experience handling biometric, time-series, or physiological signal data pipelines (e.g., PPG) is a strong plus.
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