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Lead iOS Developer
Location : Mountain View, CA (hybrid)
Long Term
L2 EAD
Responsibilities
Create impactful iOS experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code
Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
Qualifications
BS/MS in computer science or equivalent work experience
7 years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications
Expertise in Swift and SwiftUI
Experience in the Software design/architecture process
Experience in the entire Software Development Life Cycle (SDLC)
Experience with web services (consuming or creating) with REST or SOAP
Excellent communication skills, with the ability to explain complex technical issues to different audiences
Familiarity with the development challenges that come with highly scalable and available web applications
Experience with unit testing and Test Driven Development (TDD)
Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
Lead iOS Developer
Location : Mountain View, CA (hybrid)
Long Term
L2 EAD
Responsibilities
Create impactful iOS experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code
Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
Qualifications
BS/MS in computer science or equivalent work experience
7 years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications
Expertise in Swift and SwiftUI
Experience in the Software design/architecture process
Experience in the entire Software Development Life Cycle (SDLC)
Experience with web services (consuming or creating) with REST or SOAP
Excellent communication skills, with the ability to explain complex technical issues to different audiences
Familiarity with the development challenges that come with highly scalable and available web applications
Experience with unit testing and Test Driven Development (TDD)
Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers