The Tracking Team at LinkedIn is responsible for instrumenting and collecting accurate data on how LinkedIn users interact with our web and mobile applications. Data scientists use the tracking data to gain business insights, Product Managers use them to understand customer behavior, and AI engineers use them to build relevance models to improve our products and services. Inaccurate data severely impacts decision-making at LinkedIn. We collect data which is revenue-sensitive and it is also used to report core metrics of the company. We are building a next-generation tracking platform to efficiently collect interaction data for our billion-plus users cutting across multiple technology stacks (mobile, applications, infrastructure) and generate insights in near real-time.
Responsibilities
- Design and develop new features in Tracking SDK that improve the way we collect member engagement data from LinkedIn native apps (iOS) by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes.
- Make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
- Produce high-quality software that is tested, code-reviewed, and checked in regularly for continuous integration.
- Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
- Identify, leverage, and successfully evangelize opportunities to improve engineering productivity and best practices for collecting member engagement data.
- Initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
Basic Qualifications
- B.Tech / B.E (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
- 8+ years of industry experience.
- 4+ years of programming experience in Objective-C or Swift.
Preferred Qualifications
- Deep foundational knowledge of data structures and algorithms.
- Strong object-oriented skills including design, coding, and testing patterns.
- Knowledge of common mobile application design patterns (MVC, MVVM, MVP, etc.).
- Familiarity with API design and client/server communication principles.
- Understanding of best practices for multithreading and performance optimizations.
- Expansive technical knowledge and experience with mobile application development (iOS).
- Experience developing multi-tier scalable and user-centric reliable applications that operate 24x7.
Suggested Skills
- iOS
- Data Structures
- Algorithms
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