Top Tech Jobs & Startup Jobs

As a senior iOS developer, you will design and build mobile applications, ensuring performance and quality, while collaborating with engineers to deliver new features and solutions.

Own the consumer wallet product end-to-end to drive activation, funding, and repeat transactions across in-app and external use cases. Lead discovery, experiments, and roadmap prioritisation; partner with engineering, design, and growth to ship onboarding, KYC, top-up, P2P, and payments. Instrument analytics, optimise funnels, and scale adoption using super app surfaces and agent networks while advising leadership.

Develop and maintain Android mobile applications, ensuring quality and performance while collaborating with cross-functional teams to deliver features and solutions.

Ensure HR policies and practices comply with labor laws across operating regions. Develop and implement HR policies, conduct audits, manage compliance risks, deliver bilingual (French/English) training, investigate HR compliance issues, maintain records, and report findings to senior management.

Lead and grow a fintech engineering team in Berlin or Paris. Own design, development, and delivery of scalable microservices using Node.js. Drive technical excellence, hiring, code quality, TDD/DDD practices, CI/CD, and cross-functional collaboration with product and design.

Represent Yassir in Tizi Ouzou to promote and sell on-demand services (ride-hailing, last-mile delivery) and new financial services, acquire users and merchant partners, and support local market expansion and adoption.

As a Senior Java Full Stack Engineer, you will build robust software, design system architecture, improve code quality, and collaborate on technical solutions.

As a Fullstack Developer, you'll design and develop applications using Node.js and React, collaborate with teams, and optimize performance.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.