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Senior Mobile Engineer (iOS)

🔥 15 hours ago
SwiftiOS DevelopmentMobile ArchitectureAPIs

📜 Description

  • Drive the development and implementation of complex product features that significantly impact customer experience and business outcomes.
  • Potentially architect, lead, and optimize mobile infrastructure, ensuring exceptional scalability, performance, and reliability.
  • Lead collaborative efforts with backend engineers to define and evolve robust, efficient, and well-documented APIs.
  • Champion and enforce engineering best practices across teams, raising standards for code quality and system design.
  • Proactively identify and drive strategic technical initiatives, providing architectural guidance and effective problem-solving.
  • Define and analyze key performance indicators using advanced analytics to measure feature effectiveness and drive improvements.

🛠️ Requirements

  • Bachelor's degree (or higher) in Computer Science or a related field, or equivalent practical experience.
  • 4+ years of relevant industry experience, with a significant portion focused on mobile development.
  • Expert-level proficiency in Swift, with deep expertise in modern iOS paradigms (Combine, Swift Concurrency, SwiftUI, etc.).
  • Extensive understanding of iOS application architectures (MVVM, MVP, VIPER, etc.) and their trade-offs.
  • Proven ability to architect scalable and maintainable mobile solutions.
  • Some experience in mentoring and guiding other engineers.
Reddit

Senior Software Engineer, Agentic Ads Experience

Reddit👥 1001 - 5000 employees🏢 Online Community/social Media
🔥 12 hours ago

As a Senior Software Engineer on the Agentic Ads Experience team, you will design and implement AI-powered features that transform how advertisers interact with the Reddit Ads Platform.

Generative AISoftware EngineeringLLM CallsAPIs
ZoomInfo

Senior Machine Learning Engineer

ZoomInfo👥 10,000+ employees🏢 Software Development🤝 B2B
🔥 4 hours ago

As a Senior Machine Learning Engineer, you will design and implement large-scale recommendation systems, optimize NLP models, and manage MLOps infrastructure to enhance AI-driven solutions.

Machine LearningNatural Language ProcessingRecommendation SystemsMlops

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