Sr. Software Engineer - iOS (Swift) & Automation Testing
LocationBengaluru, Karnataka, India
Typefull-time
SenioritySenior
Company size1,001–5,000 people
PostedSep 24, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Strong hands-on specialization in 2–3 or more of the areas: Swift Concurrency, SwiftUI & Combine, Core Data / SwiftData, Networking, Background Processing
Practical production experience with memory leak detection and troubleshooting using Instruments
Practical production experience with CPU and memory profiling
Practical production experience with performance analysis and optimization
Practical production experience with application startup optimization
Practical production experience with concurrency issue diagnosis
Practical production experience with crash monitoring and analysis
Practical production experience with crash trend analysis
Practical production experience with production debugging
Practical production experience with application observability and stability improvements
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
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
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
Skills
Swift
SwiftUI
iOS
iPhone
iPad
Xcode Instruments
MCP
Combine
Core Data
SwiftData
URLSession
gRPC
Protocol Buffers
BackgroundTasks
LLM APIs
Model Context Protocol
About the role
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
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Design, develop, and maintain large-scale, modular iOS applications using Swift.
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Build scalable, maintainable, testable, and high-performance solutions across multiple feature teams.
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Develop advanced SwiftUI interfaces with a strong focus on responsiveness, usability, and accessibility.
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Design and implement scalable application architectures and modern architectural patterns.
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Develop and maintain automated testing solutions to ensure application quality and reliability.
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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.
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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.
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Optimize application startup performance, memory usage, responsiveness, and overall runtime performance.
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Apply modern dependency management approaches to maintain scalable and modular application architecture.
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Collaborate with multiple feature teams to establish consistent engineering and architectural practices.
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Participate in code reviews, technical discussions, debugging, testing, and continuous improvement initiatives.
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Troubleshoot complex production issues and ensure reliable application delivery.
Core Technical Requirements
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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:
1. Swift Concurrency
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async/await
•
Actors
•
Task Groups
2. SwiftUI & Combine
•
Advanced SwiftUI development
•
Combine framework
•
Responsive and reactive UI development
3. Core Data / SwiftData
•
Data persistence
•
Core Data or SwiftData implementation
4. Networking
•
URLSession
•
gRPC
•
Protocol Buffers
5. Background Processing
•
BackgroundTasks framework
•
Background execution and task management
Performance, Stability & Observability
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
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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.