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Xebia, a global AI-first engineering partner, seeks an experienced iOS developer to design and maintain high-performance native apps for a large-scale ecommerce client. You will use SwiftUI/UIKit, implement secure integrations, and optimize app performance while aligning with MVVM/ Clean Architecture.
Candidates should have 4+ years of iOS experience, strong knowledge of Swift/SDK, testing (unit and E2E), and familiarity with Xcode, SwiftPM, CocoaPods, and App Store deployment; EU-region work
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
The client is a leading e-commerce platform connecting millions of buyers and sellers through a large-scale online marketplace. It enables transactions across diverse product categories, offering secure payments, logistics support, and user-friendly shopping experiences. The platform focuses on innovation, scalability, and enhancing customer engagement in a highly competitive digital commerce environment.
Work from the European Union region and a work permit are required.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.