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Open nowPosted 10 days ago

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

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowSr. Software Engineer - iOS (Swift) & Automation TestingWorkable (global search) · Bengaluru, KA, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 10 days ago

Workable (global search) median: 7 days open

The posting

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:

1. Swift Concurrency

  • 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

  • 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.
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