Lead Swift / IOS Engineer Mexico

We are looking for a passionate Swift/iOS Engineer who would like to work with a top-notch technology stack in a friendly and cozy atmosphere for one of the greatest retail companies in the USA. Our client is a top-tier fashion retailer focused on delivering exceptional shopping.

And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing?

We are a close-knit team of iOS & Android developers, designers, testers, and product owners collaborating to make our client’s mobile applications incredible. We strive to delight our customers with each new release. We work in a high-speed, agile environment to ship features in the shortest time possible. We value energy, collaboration, and teamwork. We are constantly improving professionally, and expect the same from you.

Lead the architecture, development, and maintenance of our iOS mobile applications, ensuring scalability, performance, and long-term maintainability.

Set technical direction for the iOS codebase, making key decisions on frameworks, patterns, and tooling.

Champion and embed AI-native development practices across the product development lifecycle — from AI-assisted planning and design through AI-augmented coding, testing, and release.

Collaborate with product, design, and engineering leadership to define, scope, and prioritize new features and technical initiatives, leveraging AI tools to accelerate discovery, prototyping, and estimation.

Mentor and guide iOS engineers through code reviews, pairing, and technical coaching, including coaching on effective use of AI coding assistants and tools.

Establish and enforce best practices for clean, maintainable, and testable code, with a deep, hands-on understanding of core iOS concepts.

Own the technical quality of releases, including code review standards, testing strategy, and CI/CD practices for iOS, integrating AI-driven testing and quality automation where applicable.

Evaluate and introduce new iOS technologies, tools, and trends — including emerging AI-assisted development tools — and drive their adoption where they add value.

Define and iterate on team workflows to incorporate AI-native PDLC practices (e.g., AI-assisted code generation, automated test generation, AI-powered code review, and documentation).

Act as the primary point of contact for iOS-related technical questions across teams, and represent the iOS team in cross-functional and planning discussions.

Contribute to hiring, onboarding, and performance feedback for iOS team members.

6+ years of iOS development experience, including prior experience leading or mentoring engineers.

Deep expertise in Swift and Cocoa Touch, with a strong track record of shipping production iOS apps at scale.

Proven experience in Object-Oriented Programming and software design/architecture patterns (MVVM, MVC, Clean Architecture, etc.).

Expert knowledge of the iOS SDK and Xcode, including performance profiling and debugging tools.

Strong experience designing and integrating with RESTful APIs, and input into API contracts with backend teams.

Advanced experience with Git, including branching strategy, code review workflows, and release management.

Proven track record with Test Driven Development (TDD) and Agile methodologies, with experience shaping team process.

Hands-on experience integrating AI-native tools and workflows into the product development lifecycle (e.g., Claude Code, GitHub Copilot, Cursor, or similar AI coding assistants) for code generation, review, and testing.

Familiarity with prompt engineering practices and using AI tools to accelerate design, documentation, and technical decision-making.

Deep expertise in iOS frameworks such as UIKit, SwiftUI, CoreGraphics, Core Animation, and ability to guide framework/tooling decisions for the team.

Strong experience in Unit Testing, including establishing testing standards and coverage goals, and leveraging AI for test generation and coverage analysis.

Excellent communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.

Demonstrated ability to mentor engineers and lead by example on technical execution, including adoption of AI-native development practices.

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