Sr. Software Engineer - iOS (Swift) & Automation Testing

We are looking for an experienced iOS Software Engineer with strong hands-on expertise in Swift and modern iOS development, along with experience in automation testing, to build and maintain large-scale, modular iOS applications.

The ideal candidate will have experience designing scalable iOS architectures, developing high-quality applications for iPhone and iPad, optimizing application performance, and working with modern Apple technologies.

The role also requires hands-on experience with AI/LLM integration, including LLM APIs, Model Context Protocol (MCP), token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns in production environments.

Requirements

Key Responsibilities

• Design, develop, and maintain large-scale, modular iOS applications using Swift
• Build scalable, maintainable, testable, and high-performance solutions across multiple feature teams
• Develop advanced SwiftUI interfaces with a strong focus on responsiveness, usability, and accessibility
• Design and implement scalable application architectures and modern architectural patterns
• Develop and maintain automated testing solutions to ensure application quality and reliability
• Integrate and work with LLM APIs within production iOS applications
• Implement and work with MCP (Model Context Protocol) frameworks in production environments
• Work with token management, context handling, and agentic workflows within AI-powered applications
• Implement multi-agent orchestration and tool-use patterns where applicable
• Evaluate LLM trade-offs and design resilient error-handling mechanisms for AI-powered applications
• Diagnose and resolve memory, performance, concurrency, and application stability issues using Xcode Instruments and profiling tools
• Implement robust crash monitoring and observability solutions
• Analyze crash trends and production issues and drive improvements in application stability
• Optimize application startup performance, memory usage, responsiveness, and overall runtime performance
• Apply modern dependency management approaches to maintain scalable and modular application architecture
• Collaborate with multiple feature teams to establish consistent engineering and architectural practices
• Participate in code reviews, technical discussions, debugging, testing, and continuous improvement initiatives
• Troubleshoot complex production issues and ensure reliable application delivery
  
  

Core Technical Requirements

• Strong hands-on experience in iOS application development using Swift
• Experience building large-scale and modular iOS applications
• Strong experience with SwiftUI and modern Apple development technologies
• Strong understanding of iOS application architecture and scalable architectural patterns
• Experience developing applications for iPhone and iPad
• Experience with automation testing for iOS applications
• Hands-on experience with LLM APIs and AI-powered application development
• Production experience with MCP (Model Context Protocol) frameworks
• Understanding of:
• Token management
• Context handling
• Agentic workflows
• Multi-agent orchestration
• Tool-use patterns
• LLM trade-offs
• Resilient error handling for AI applications
• Strong experience with Xcode Instruments and profiling tools
• Experience diagnosing and resolving:
• Memory leaks
• Memory issues
• Performance bottlenecks
• Concurrency issues
• Application crashes
• Experience with crash monitoring, observability, and production diagnostics
• Experience with modern dependency management

Specialized Expertise

Candidates should have strong hands-on specialization in 2-3 or more of the following areas:Performance, Stability & Observability

• Swift Concurrency
• async/await
• Actors
• Task Groups
• SwiftUI & Combine
• Advanced SwiftUI development
• Combine framework
• Responsive and reactive UI development
• Core Data / SwiftData
• Data persistence
• Core Data or SwiftData implementation
• Networking
• URLSession
• gRPC
• Protocol Buffers
• Background Processing
• BackgroundTasks framework
• Background execution and task management
  
  

The candidate should have practical production experience with:

• Memory leak detection and troubleshooting using Instruments
• CPU and memory profiling
• Performance analysis and optimization
• Application startup optimization
• Concurrency issue diagnosis
• Crash monitoring and analysis
• Crash trend analysis
• Production debugging
• Application observability and stability improvements
  
  

AI / LLM Requirements

Strong practical experience with AI integration is required, including:

• Integration of LLM APIs
• Production implementation of MCP (Model Context Protocol)
• Token and context management
• Agentic application workflows
• Multi-agent orchestration
• Tool-use patterns
• Evaluation of LLM model trade-offs
• Error handling and resilience in AI-powered applications
  
  

Automation & Quality

• Experience building or maintaining iOS automation testing frameworks/scripts
• Strong understanding of software testing and quality engineering practices
• Experience integrating testing into development and CI/CD workflows
• Ability to write maintainable and reliable automated tests
• Experience identifying, reproducing, debugging, and resolving application defects
  
  

Required Competencies

• Strong problem-solving and debugging skills
• Strong understanding of software engineering best practices
• Ability to work on complex production applications
• Strong ownership of application quality, performance, and reliability
• Ability to collaborate effectively across multiple feature teams
• Strong communication and teamwork skills
• Ability to learn and adapt to modern iOS and AI technologies
• Comfortable working in a fast-paced Agile engineering environment
  
  

Preferred Experience

• Experience working on large-scale digital products or banking applications
• Experience in banking, financial services, or digital payments
• Experience working with enterprise-scale mobile applications
• Experience integrating AI/LLM capabilities into production applications
• Experience working with modern CI/CD and engineering automation practices