Senior Mobile Apps Engineer

About the role

Etihad Airways is looking for a Senior Mobile Apps Engineer in Abu Dhabi to implement its mobile engineering strategy across native iOS, native Android and hybrid/cross-platform applications, while accelerating the adoption of AI and Generative AI in customer experiences and engineering practice. The role sets up scalable mobile architecture, engineering standards, security and quality practices, observability, performance benchmarks, CI/CD capabilities and AI-enabled development across multiple digital products and squads, choosing the right mix of native, hybrid, cross-platform, web-based and AI-assisted approaches.

Key responsibilities

• Develop and enhance mobile applications using Ionic-Angular and hybrid development frameworks.
• Design and implement native mobile solutions across iOS and/or Android.
• Deliver omnichannel solutions using a single codebase across web and mobile channels.
• Integrate solutions across native and hybrid mobile technologies.
• Embed AI-assisted development tools and practices to speed up engineering and delivery.
• Work with delivery stakeholders and Solution Architects to turn requirements into technical solutions.
• Define Low-Level Designs (LLDs) from the High-Level Designs provided by Solution Architects.
• Technically lead experienced developers, solve complex technical challenges and unblock delivery.
• Apply digital solution architecture principles, including microservices and 3-tier architecture, across mobile solutions.

Required profile

• Bachelor's degree in computer science, Software Engineering, Computer Engineering or an equivalent technical discipline.
• 5+ years of software engineering experience in mobile application development.
• Demonstrated delivery of large-scale, customer-facing mobile applications.
• Significant experience with native and hybrid/cross-platform mobile architectures.
• Experience leading multiple engineering squads or governing a significant engineering portfolio.
• Practical experience adopting AI within software products and/or the engineering lifecycle.

Required skills

• Strong understanding of enterprise SDLC, DevSecOps, testing, security, observability and production operations.
• Advantageous: cloud, architecture, cybersecurity, mobile or AI certifications.