iOS Development Expertise: 7+ years of experience in iOS development with proficiency in Swift, Objective-C, and modern architecture patterns (e.g., MVVM, VIPER).
Algorithm and System Design: Strong foundation in designing and implementing algorithms with practical applications in software engineering.
Coding Skills: Proven ability to write clean, efficient, and scalable code, with experience in code optimization and debugging.
Problem-Solving Ability: Strong analytical skills to address complex technical challenges and deliver innovative solutions.
Team Collaboration: Experience collaborating within cross-functional teams to deliver user-centric solutions.
Communication: Effective communication skills, capable of articulating technical concepts clearly and engaging with diverse stakeholders.
Fluent English Communication: Fluency in spoken and written English, with the ability to articulate technical concepts clearly to diverse stakeholders.
Preferred Qualifications
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.
AI: Familiarity with AI technologies and their integration into mobile development.
Agile Methodologies: Experience working in an Agile environment with iterative development processes.
Global Collaboration: Experience working in a global, multi-disciplinary environment with distributed teams.
Responsibilities
Technical Development: Design and implement robust iOS solutions using Swift and Objective-C. Write efficient, maintainable, and scalable code that meets coding standards and best practices.
System Architecture Support: Contribute to system architecture discussions and collaborate on developing scalable, secure, and performant solutions.
Code Quality: Participate in code reviews to ensure quality and adherence to best practices. Assist in optimizing, debugging, and refactoring code for performance improvements.
Collaboration: Work closely with cross-functional teams including product management, design, and other engineering groups to align on product features and technical solutions.
Performance Optimization: Investigate performance issues, implement testing strategies, and resolve bottlenecks to ensure a smooth and responsive user experience.
Mentorship and Guidance: Mentor junior team members, sharing knowledge and fostering a collaborative environment to elevate engineering skills across the team.
Data-Driven Decision Making: Utilize telemetry and analytics to improve product performance and refine features based on user feedback.