Lead iOS Engineer
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Lead iOS Engineer
Requisitos y responsabilidades
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About the role
We are looking for a Lead iOS Engineer to support a platform-focused team at Bumble, contributing hands-on to iOS implementation while raising the technical bar across architecture, quality practices, and AI-assisted delivery. You will design and maintain MVVM-based iOS architecture, integrate third-party SDKs and cloud-connected platform functionality, and select and implement appropriate testing strategies for the team. The role requires strong ownership in a high-ambiguity environment, turning unclear requirements into clear technical plans with minimal supervision.
What you will do
- Design, build, and maintain high-quality iOS platform capabilities that support consumer-facing experiences;
- Contribute hands-on to iOS architecture and implementation, including MVVM and modular architecture patterns where appropriate;
- Integrate third-party SDKs and platform services into the iOS application;
- Work across networking layers, API integrations, and backend-connected mobile features;
- Support Cloud Code-related implementation and integration needs where applicable;
- Own iOS work end-to-end, from technical design and implementation through validation, release readiness, and iteration;
- Select, introduce, and implement appropriate testing and quality tools based on the codebase, delivery needs, and platform constraints;
- Improve release confidence through pragmatic quality practices, balancing test coverage, maintainability, delivery speed, and platform constraints;
- Provide technical guidance through code reviews, pairing, and architecture discussions;
- Apply AI-assisted engineering practices where they improve delivery speed, code quality, debugging, refactoring, documentation, or tooling, while maintaining engineering judgment and review discipline;
- Communicate clearly with stakeholders, surface risks early, and keep progress visible across time zones.
Must haves
- 5+ years of experience as an iOS engineer with strong hands-on Swift/iOS implementation experience;
- Strong experience building and shipping production iOS applications at scale;
- Practical experience designing and maintaining iOS architecture, especially MVVM;
- Strong ownership mindset: able to operate with limited supervision, take ambiguous requirements, validate assumptions, and turn them into clear technical plans;
- Experience integrating third-party SDKs in production mobile applications;
- Strong understanding of networking, API integration, error handling, and mobile-backend interaction patterns;
- Experience with Cloud Code or comparable cloud-connected mobile/platform functionality;
- Strong judgment around iOS quality practices, including the ability to choose and implement appropriate testing tools for the team rather than only writing tests;
- Ability to evaluate the team’s quality needs and select suitable approaches for unit, integration, UI, snapshot, contract, or other relevant test coverage;
- Comfortable using AI-assisted engineering tools responsibly as part of normal development work, including implementation support, debugging, refactoring, documentation, test/tooling work, and technical exploration;
- Strong communication habits, visible progress updates, early risk/blocker escalation, and reliable collaboration across time zones;
- Upper-intermediate English level.
Nice to haves
- Experience with modular iOS architecture in large-scale consumer applications;
- Experience defining or improving team-level testing strategy, not just contributing individual tests;
- Experience introducing or improving testing tooling for iOS teams;
- Experience working on platform teams or shared mobile foundations used by multiple product teams;
- Experience with cloud-connected mobile features, backend-for-frontend patterns, or services that require close mobile/backend coordination;
- Prior experience in high-ambiguity environments where requirements need discovery, validation, and technical shaping before implementation;
- Practical experience using AI tools to improve engineering workflows while preserving code quality, security, and authenticity.
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