Verified Job
IT / Software / Data Analyst
Staff Software Developer - Mobile
IT / Software / Data Analyst
#600604
Remote / WFH
Job Description
Full job description
Overview
Come join Intuit’s DynExTeam as a Staff Software Developer - Mobile, to help shape how Intuit designs, crafts, operates, and runs Mobile applications. In this position, you will have the opportunity to make a massive impact on Intuit’s transformation into a modernized, AI-driven platform.
We are seeking a Staff Mobile Software Developer with a strong passion for building successful applications, services, and APIs that deliver big value to customers. You are comfortable in dealing with ambiguity and changes. You love to take initiative and have a bias towards action. You are not afraid to tackle difficult problems and dive into new technologies. You are highly motivated and creative problem solver with a passion for innovation.
Intuit has embraced a hybrid way of working. This is a hybrid role with the expectation of working from our Toronto office 3 days per week.
What you'll bring
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 modern mobile technologies, with specific deep experience in either Android (e.g., Kotlin, Jetpack Compose, Android SDK) or iOS (e.g., Swift, SwiftUI) development.
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.
How you will lead
Create impactful mobile 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.
Overview
Come join Intuit’s DynExTeam as a Staff Software Developer - Mobile, to help shape how Intuit designs, crafts, operates, and runs Mobile applications. In this position, you will have the opportunity to make a massive impact on Intuit’s transformation into a modernized, AI-driven platform.
We are seeking a Staff Mobile Software Developer with a strong passion for building successful applications, services, and APIs that deliver big value to customers. You are comfortable in dealing with ambiguity and changes. You love to take initiative and have a bias towards action. You are not afraid to tackle difficult problems and dive into new technologies. You are highly motivated and creative problem solver with a passion for innovation.
Intuit has embraced a hybrid way of working. This is a hybrid role with the expectation of working from our Toronto office 3 days per week.
What you'll bring
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 modern mobile technologies, with specific deep experience in either Android (e.g., Kotlin, Jetpack Compose, Android SDK) or iOS (e.g., Swift, SwiftUI) development.
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.
How you will lead
Create impactful mobile 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.
