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Socure is seeking a highly motivated and experienced Senior iOS Engineer to join our talented software engineering team. In this role, you will take ownership of our native iOS SDK, lead high-impact initiatives, collaborate closely with product engineering and management teams, and help build best-in-class Digital Intelligence products for our customers. As part of the Digital Intelligence team, you will support our engineers and data scientists by delivering scalable, high-quality machine learning infrastructure and operational tooling for modeling and inference.
Job Responsibility:
Implement, iterate on, and maintain new and existing features for our iOS SDK used by customers
Collaborate with distributed cross-functional teams—including Product, Engineering, Infrastructure, Machine Learning, and Data Science—to conceptualize and develop new features and products in an agile environment
Own end-to-end delivery of software components, taking team features and system components all the way to production
Monitor and improve existing deployments to ensure continuous product enhancement
Own, maintain, and continuously improve our release pipeline and processes
Participate and often lead in the design and implementation discussions for our native SDKs and corresponding backend services
Take part in the on-call rotation, triaging and resolving production issues and addressing bugs
Write and maintain high-quality codebases with rigorous standards for unit, integration, and validation testing
Requirements:
BS or higher in Computer Science or a related technical field
5-7 years of software engineering experience with strong iOS development expertise
Proficiency with the following technologies: Swift, Objective-C, UIKit, SwiftUI, Xcode, Swift Package Manager, XCTest, React Native, and iOS UI Testing frameworks
Strong computer science fundamentals in data structures, algorithms, distributed systems, architecture, design patterns, and various programming languages
A strong understanding of engineering best practices, with a focus on improving standards, tooling, and processes
Ability to drive technical decisions within the Engineering team
Willingness and ability to develop operational knowledge of new technologies or languages as needed
A customer-first mindset and ability to communicate complex technical concepts to individuals across varying levels and functions in the organization
Comfort working within agile methodologies in a global, cross-functional, collaborative environment
Excellent collaboration and communication skills
Nice to have:
Prior experience with SDK development, building libraries with a small memory footprint and minimal dependencies
Strong experience with SDLC tools and processes, including source control, test automation, and build solutions
Previous work on device intelligence and behavioral products in the fraud and risk space
Experience with backend technologies such as Java, AWS, Spring Boot, Go, and Kubernetes