Senior iOS Engineer, Customer Experience at Metropolis

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, MobilityIndustries

Requirements

MS or BS in Computer Science or equivalent work experience
6+ years of hands-on experience as a Mobile Engineer for native iOS apps (experience in high volume consumer facing applications preferred)
Excellent understanding of software engineering principles
6+ years writing applications in Swift (usage of Swift UI as a bonus)
Proven experience interacting with back-end and full-stack engineers
Experience working in an agile development environment
Strong knowledge of mobile design best practices

Responsibilities

Promote productive collaboration with the product team and the design team
Ensure the proliferation of high-quality patterns that boost the velocity of iOS delivery and the quality of product experience
Mentor and guide engineers on your team
Lead technical discussions, evaluate new techniques, and ensure the platform is constantly evolving and improving
Leverage best practices in testing and deployment to enable rapid iteration and launch of new features

Skills

Key technologies and capabilities for this role

iOSSwiftUIKitXcodeREST APIsObjective-CAuto LayoutCore Data

Questions & Answers

Common questions about this position

What experience level is required for this Senior iOS Engineer role?

The role requires 6+ years of hands-on experience as a Mobile Engineer for native iOS apps and 6+ years writing applications in Swift.

What education is needed for this position?

An MS or BS in Computer Science or equivalent work experience is required.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the company culture feel like at Metropolis?

Metropolis operates in a fast-paced, challenging, and fun environment where the team works together as one to deliver commitments and challenges the status quo every day.

Metropolis

Technology-driven facility management for parking

About Metropolis

Metropolis focuses on improving facility management, particularly in the parking sector, by using computer vision technology to facilitate checkout-free payments. This technology allows drivers to park and pay without the need for traditional payment methods, making the process more efficient. Metropolis serves a variety of clients, including real estate owners and valet services, and operates in over 360 cities across North America, processing more than $4 billion in payments each year. What sets Metropolis apart from its competitors is its integration of payment solutions with facility management services, which not only enhances the parking experience but also increases asset productivity for its clients. The company's goal is to streamline parking operations and create revenue opportunities for its clients through its advanced technology and services.

Santa Monica, CaliforniaHeadquarters

2017Year Founded

$1,240.7MTotal Funding

DEBTCompany Stage

Automotive & Transportation, Fintech, Real EstateIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Retirement Plan

Disability Insurance

Life Insurance

Stock Options

Performance Bonus

Risks

Increased competition from BMW-owned ParkMobile may impact market share.

The SP Plus acquisition may pose integration challenges and financial strain.

Rapid expansion could lead to operational inefficiencies and quality control issues.

Differentiation

Metropolis uses AI and computer vision for checkout-free parking payments.

The company integrates its platform into field operations for revenue generation.

Metropolis serves diverse clients, including real estate and valet services.

Upsides

Metropolis processes over $4 billion in payments annually across 360 cities.

The acquisition of SP Plus Corporation expands Metropolis's market reach.

AI-driven dynamic pricing models optimize revenue in real-time.

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