iOS Developer with Swift UI

📍 Job Overview

Job Title: iOS Developer with Swift UI

Company: McAfee

Location: Bangalore, Karnataka, India

Job Type: FULL_TIME

Category: Software Engineering / Mobile Development

Date Posted: 2026-07-24

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Build and support end-to-end mobile applications and backend services, focusing on transaction-driven experiences.

• Leverage Generative AI and Agentic AI to enhance productivity, code quality, and deliver next-generation application features.

• Design and develop scalable APIs and seamless user experiences that address real-world business needs.

• Contribute across the full software development lifecycle (SDLC) in a fast-paced, innovation-focused environment.

• Collaborate with cross-functional engineering teams and external partners to integrate and optimize application components.

📝 Enhancement Note: This role is positioned within a cybersecurity company, implying a strong emphasis on security best practices, code robustness, and potentially handling sensitive data within the applications developed. The mention of "Agentic AI-powered application experiences" suggests a forward-thinking approach to AI integration beyond simple code generation, potentially involving autonomous agents within the application's functionality.

📈 Primary Responsibilities

• Design, develop, and deliver robust iOS applications utilizing SwiftUI and Swift.

• Develop and integrate scalable backend services and RESTful APIs using Go and/or Python.

• Implement and optimize application components and services, ensuring seamless end-to-end mobile application delivery.

• Analyze user requirements to translate them into scalable applications and APIs, focusing on user experience.

• Leverage Generative AI tools throughout the SDLC to boost productivity, code quality, and development efficiency.

• Debug and troubleshoot complex technical challenges, utilizing tools like Instruments for performance and memory analysis.

• Drive architectural decisions and contribute to the full software development lifecycle, from conception to deployment.

• Ensure adherence to software engineering best practices, including unit testing, code coverage, automation, design patterns, and performance optimization.

• Collaborate with global teams, fostering knowledge sharing and effective communication.

• Build complete mobile experiences from UI to backend integration, independently managing development phases.

📝 Enhancement Note: The responsibilities highlight a full-stack capability requirement, bridging mobile frontend development with backend service creation. The emphasis on Generative AI and Agentic AI indicates a requirement for developers to not only use these tools but also to actively contribute to building AI-powered features, suggesting a need for understanding AI concepts and their application in software development.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is typically expected for roles of this experience level.

Experience: 6-8 years of overall software development experience, with a minimum of 3 years specifically focused on building and designing iOS applications using SwiftUI.

Required Skills:

• Proven expertise in iOS development using Swift and SwiftUI.

• Strong full-stack development experience, including backend technologies such as Go and/or Python.

• Skilled in developing and integrating RESTful APIs for seamless mobile application delivery.

• Solid understanding of software engineering best practices: unit testing, code coverage, automation, design patterns, and performance optimization.

• Proficient in debugging and troubleshooting complex issues using tools like Instruments (memory analysis, leak detection, crash diagnostics).

• Hands-on experience with Git for version control.

• Experience with CI/CD pipelines for automated build, test, and deployment processes.

• Ability to independently build complete mobile experiences from UI to backend integration.

• Effectively leverage Generative AI tools throughout the Software Development Lifecycle (SDLC) to enhance productivity and code quality. Preferred Skills:

• Experience with build systems such as Gradle, Maven, and native iOS tools.

• Familiarity with Agentic AI concepts and their application in mobile development.

• Experience working in a cybersecurity domain.

• Contributions to open-source projects or a strong portfolio showcasing complex mobile solutions.

• Experience with cross-functional team collaboration in a global environment.

📝 Enhancement Note: The requirement for 3+ years specifically in SwiftUI indicates a need for hands-on experience with Apple's modern UI framework, suggesting that older Objective-C or UIKit-heavy experience alone might not suffice. The "full-stack" requirement paired with specific backend languages (Go/Python) means candidates should be comfortable architecting and developing both client and server-side logic.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate successful end-to-end mobile application development, showcasing both iOS (SwiftUI) and backend (Go/Python) components.

• Include examples of RESTful API integrations and how they facilitate seamless data flow.

• Showcase projects where Generative AI was leveraged to improve development efficiency or enhance application features.

• Highlight applications with robust error handling, performance optimizations, and strong security considerations.

• Provide clear documentation or explanations of the architecture, design patterns, and development processes used. Process Documentation:

• Showcase projects where workflow design and optimization were critical to application success.

• Provide examples of how automated testing and CI/CD pipelines were implemented and maintained.

• Demonstrate experience in performance analysis and using tools like Instruments to identify and resolve bottlenecks.

• Illustrate how user requirements were translated into functional and scalable application features.

📝 Enhancement Note: A strong portfolio is crucial for this role, especially given the emphasis on full-stack capabilities and modern frameworks like SwiftUI. Candidates should be prepared to walk through their projects, explaining architectural decisions, trade-offs made, and the impact of their contributions, particularly concerning AI integration and performance.

💵 Compensation & Benefits

Salary Range: For an experienced iOS Developer with full-stack capabilities in Bangalore, India, the estimated annual salary range is approximately ₹20,00,000 to ₹40,00,000 (INR). This translates to roughly $24,000 to $48,000 USD annually, adjusted for the local cost of living and industry benchmarks.

Benefits:

• Bonus Program

• Pension and Retirement Plans

• Medical, Dental, and Vision Coverage

• Paid Time Off (PTO)

• Paid Parental Leave

• Support for Community Involvement

• Great Place to Work® Certified environments in multiple countries, indicating a supportive and empowering workplace.

Working Hours: Typically 40 hours per week, with a hybrid work arrangement allowing for flexibility. Standard working hours in India are generally Monday to Friday, but specific team schedules may vary.

📝 Enhancement Note: The salary estimate is based on industry data for mid-senior level Software Engineers in Bangalore, considering the demand for specialized skills like SwiftUI, Go/Python, and AI integration. The provided USD equivalent is for comparative reference and actual compensation will be in INR. McAfee's commitment to being a "Great Place to Work®" suggests a positive work environment and a comprehensive benefits package.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cybersecurity and Personal Security for Consumers. McAfee operates in a highly competitive and rapidly evolving technology sector, where innovation, security, and user trust are paramount. This context means that operations within the engineering teams are geared towards agility, rigorous testing, and maintaining high standards of data protection.

Company Size: McAfee is a large enterprise company, which typically means established processes, dedicated teams for various functions (like HR, IT, Security), and opportunities for specialization. For operations professionals, this can translate to working with complex systems, larger datasets, and collaborating across numerous departments.

Founded: McAfee has a long history in the cybersecurity industry, founded in 1987. This longevity suggests a stable company with deep expertise, but also one that must continually adapt to technological advancements and evolving threat landscapes.

Team Structure:

• The role reports into an engineering team focused on mobile applications and backend services. This team likely includes other iOS developers, backend developers (Go/Python specialists), QA engineers, and potentially product managers or scrum masters.

• The structure is likely agile, with cross-functional teams working in sprints.

• Collaboration will extend to other engineering disciplines, security teams, and potentially product marketing or UX/UI design teams. Methodology:

• Agile development methodologies (Scrum, Kanban) are standard, emphasizing iterative development, continuous feedback, and rapid adaptation.

• A strong focus on data-driven development, leveraging analytics to inform product decisions and measure impact.

• Emphasis on security-first principles throughout the SDLC, integrating security checks and reviews at every stage.

• Utilization of Generative AI tools for code generation, testing, and potentially AI-powered feature development.

Company Website: https://www.mcafee.com/

📝 Enhancement Note: Working in a large cybersecurity firm like McAfee means exposure to industry-leading security practices and potentially cutting-edge threat intelligence. Operations roles here often involve managing systems and processes that handle vast amounts of user data, requiring meticulous attention to detail, compliance, and security protocols.

📈 Career & Growth Analysis

Operations Career Level: Mid-Senior Level. This level signifies a transition from individual contribution to potentially influencing team direction and technical standards. The role requires not only strong technical execution but also the ability to mentor junior engineers, drive technical discussions, and contribute to architectural decisions.

Reporting Structure: The role likely reports to an Engineering Manager or a Lead Software Engineer. There will be close collaboration with product managers, QA leads, and other senior engineers within the mobile and backend engineering domains.

Operations Impact: The work directly impacts the functionality, security, and user experience of McAfee's consumer-facing mobile applications. This includes enhancing core security features, improving user engagement through AI-powered functionalities, and ensuring the reliability and scalability of backend services that support these applications. The success of these applications is critical to McAfee's consumer business strategy and market position.

Growth Opportunities:

• Technical Specialization: Deepen expertise in SwiftUI, advanced iOS architecture, Go/Python backend development, or specific areas of AI/ML integration.

• Leadership Development: Progress into a Tech Lead role, mentoring a team, driving technical roadmap, and influencing architectural decisions.

• Cross-functional Exposure: Gain experience in other areas of software development, product management, or security engineering within McAfee.

• AI Expertise: Become a subject matter expert in applying Generative AI and Agentic AI within software development and product features, a highly sought-after skill.

📝 Enhancement Note: For operations professionals, growth often involves moving from tactical execution to strategic oversight. In this role, it could mean leading initiatives for process improvement, system architecture, or the adoption of new technologies like AI within the engineering workflow.

🌐 Work Environment

Office Type: The position is designated as Hybrid, with a requirement to be onsite at the Bangalore office (RMZ Ecoworld, Campus 32, Bhoganahalli Village, Varthur Hobli) on an as-needed basis. This suggests a modern office space designed for collaboration and focused work.

Office Location(s): Bangalore, Karnataka, India. This is a major technology hub in India, offering a vibrant professional ecosystem.

Workspace Context:

• Collaborative Environment: The hybrid model implies a mix of in-office collaboration sessions and remote work. The office is likely equipped with meeting rooms, collaboration spaces, and quiet zones to support diverse work styles.

• Tools and Technology: Access to standard development tools, high-performance computing resources, and potentially specialized software for AI development and cybersecurity testing.

• Team Interaction: Opportunities for direct interaction with engineering teams, product managers, and other stakeholders during onsite days, fostering strong working relationships and knowledge transfer.

Work Schedule: Standard 40-hour work week, with flexibility to manage remote work time. The hybrid nature requires coordination with the team for onsite days, ensuring alignment with project needs and collaborative efforts.

📝 Enhancement Note: The "as-needed" onsite requirement for a hybrid role means candidates should be comfortable with a degree of unpredictability in their office attendance, requiring strong self-management skills for remote days and proactive communication for onsite days.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial call to assess basic qualifications, experience, and cultural fit.

• Technical Assessment: This may involve a coding challenge (online or live) focusing on Swift/SwiftUI, Go/Python, or API design, assessing problem-solving skills and coding proficiency.

• Technical Interviews: Multiple rounds of interviews with engineering team members, focusing on in-depth technical knowledge, system design, debugging, and experience with AI tools. Expect questions on architectural patterns, performance optimization, and security principles.

• Portfolio Review: Candidates will likely be asked to present and discuss specific projects from their portfolio, explaining their role, technical decisions, challenges, and outcomes. This is a critical stage for demonstrating practical application of skills.

• Managerial/Team Fit Interview: An interview with the hiring manager to discuss career aspirations, team dynamics, and cultural alignment.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest projects that best demonstrate your SwiftUI, full-stack, and AI integration capabilities.

• Highlight Impact: For each project, clearly articulate the problem you solved, your specific contributions, the technologies used, and the measurable outcomes (e.g., performance improvements, user engagement increase, efficiency gains).

• Showcase AI Integration: If possible, include a project where Generative AI was used for development efficiency or as part of the application's features. Be ready to explain the rationale and results.

• Prepare for Technical Deep Dives: Be ready to discuss architectural choices, trade-offs, coding standards, and debugging strategies for your showcased projects.

• Structure Your Presentation: Use a clear narrative (Problem -> Solution -> Results) and be prepared to answer technical questions on the fly.

Challenge Preparation:

• SwiftUI & Swift: Refresh knowledge on modern SwiftUI features, state management, and common UI patterns. Practice building complex, responsive UIs.

• Go/Python Backend: Review core language features, common libraries for web development (e.g., Gin/Echo for Go, Flask/Django for Python), and API design principles (REST).

• API Design & Integration: Understand concepts like idempotency, authentication, rate limiting, and data serialization.

• Generative AI Usage: Be prepared to discuss how you've used tools like GitHub Copilot, ChatGPT, or similar, and how you'd integrate AI into development workflows or product features.

• System Design: Practice designing scalable and secure systems, considering aspects like database choices, caching, load balancing, and microservices.

📝 Enhancement Note: The interview process will heavily emphasize practical application and problem-solving. Candidates should prepare to demonstrate not just theoretical knowledge but also their ability to apply it to real-world scenarios, particularly in the context of mobile development and AI integration.

🛠 Tools & Technology Stack

Primary Tools:

• iOS Development: Xcode, Swift, SwiftUI, Swift Package Manager (SPM).

• Backend Development: Go, Python.

• Version Control: Git.

• AI Integration: Generative AI tools (e.g., GitHub Copilot, ChatGPT, internal AI tools), potentially libraries for AI/ML model integration.

Analytics & Reporting:

• Performance Monitoring: Instruments (for iOS), potentially APM tools like Datadog, New Relic, or similar for backend services.

• Usage Analytics: Tools like Google Analytics for Firebase, Amplitude, or Mixpanel for tracking user behavior within the app.

• CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar for automated builds and deployments.

CRM & Automation:

• While not a direct CRM role, understanding how mobile apps integrate with backend systems that may interact with CRM data is beneficial.

• Automation tools for testing (e.g., XCUITest, Appium), build processes (Gradle, Maven), and deployment pipelines.

📝 Enhancement Note: Proficiency in SwiftUI is a key differentiator. The mention of Go and Python for backend suggests a polyglot environment, requiring adaptability. Familiarity with AI tools is not just a plus but a core expectation for this role, indicating a sophisticated technology stack.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A culture that encourages trying new technologies and approaches, particularly with AI, to drive product evolution.

• Security & Quality: A paramount focus on delivering secure, reliable, and high-quality software, reflecting McAfee's core business.

• Collaboration & Communication: Strong emphasis on teamwork, knowledge sharing, and effective communication across global, cross-functional teams.

• Customer Focus: Building applications that deliver real value and exceptional experiences to McAfee's consumer base.

• Continuous Learning: Encouraging employees to stay updated with the latest developments in mobile technology, backend development, and AI.

Collaboration Style:

• Agile and Iterative: Working in cross-functional teams with regular stand-ups, sprint reviews, and retrospectives to ensure continuous improvement and alignment.

• Open Communication: Encouraging candid feedback and constructive discussions to resolve technical challenges and improve processes.

• Global Team Integration: Adapting to working with colleagues across different time zones and cultural backgrounds, requiring clear documentation and asynchronous communication strategies.

• Mentorship and Knowledge Sharing: A culture where experienced engineers guide and support less experienced team members, fostering professional growth.

📝 Enhancement Note: The company values align with typical high-performing tech organizations, with a strong emphasis on security and innovation. The "Great Place to Work®" certification suggests a positive and supportive environment where employees feel valued and empowered.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of iOS development, backend technologies, and AI advancements.

• Integrating AI Effectively: Moving beyond basic AI usage to truly leverage Generative AI and Agentic AI for impactful product features and development efficiencies.

• Maintaining Security in a Hybrid Environment: Ensuring robust security practices across both onsite and remote development workflows.

• Cross-time Zone Collaboration: Effectively working with distributed global teams to maintain project momentum and clear communication.

• Balancing Innovation with Stability: Implementing new features and technologies while ensuring the stability and reliability of core applications.

Learning & Development Opportunities:

• Advanced iOS & SwiftUI Training: Access to courses, workshops, and internal resources to deepen expertise in Apple's ecosystem.

• AI/ML Specialization: Opportunities to learn about prompt engineering, AI model integration, and developing AI-driven features.

• Backend Technology Upskilling: Further development in Go or Python, including microservices architecture and cloud-native development.

• Leadership Training: Programs designed to develop technical leadership, mentorship, and project management skills.

• Industry Conferences & Certifications: Support for attending relevant tech conferences and obtaining industry certifications.

📝 Enhancement Note: The challenges presented are typical for roles at the forefront of technology, especially in a dynamic field like cybersecurity integrated with AI. The growth opportunities are substantial for individuals looking to specialize and lead in these advanced areas.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex iOS feature you built using SwiftUI. What were the main technical challenges, and how did you solve them? How did you leverage AI tools in its development?"

• "How would you design a scalable backend API for a consumer-facing mobile application that handles sensitive user data? What security considerations would you prioritize?"

• "Imagine you need to integrate a Generative AI feature into an existing mobile app. Walk me through your process, from ideation to implementation and testing. What metrics would you track?" Company & Culture Questions:

• "Why are you interested in McAfee and our mission in cybersecurity?"

• "How do you stay updated with the latest trends in mobile development, backend technologies, and AI?"

• "Describe a time you worked with a globally distributed team. What strategies did you use to ensure effective collaboration and communication?" Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the business problem, your specific technical solution, the technologies used (especially SwiftUI, Go/Python, AI), and the measurable results.

• Technical Depth: Be prepared to discuss architectural decisions, design patterns, performance optimizations, and debugging approaches in detail.

• AI Integration Narrative: If showcasing AI usage, explain why and how it was used, and what the tangible benefits were (e.g., reduced development time, improved code quality, enhanced user experience).

• STAR Method: Use the Situation, Task, Action, Result (STAR) method for behavioral questions and to structure your project explanations.

• Engage and Ask Questions: Be interactive during your presentation and ask insightful questions to demonstrate your understanding and engagement.

📝 Enhancement Note: Interviewers will be looking for a combination of strong technical skills, a proactive problem-solving mindset, and an understanding of how to apply modern technologies like SwiftUI and AI in a professional, security-conscious environment. Your portfolio is your primary tool to demonstrate this.

📌 Application Steps

To apply for this operations position:

• Submit your application through the McAfee Careers portal via the provided link.

• Portfolio Customization: Tailor your resume and LinkedIn profile to highlight your experience with SwiftUI, Go/Python, RESTful APIs, and any practical application of Generative AI tools in software development. Select 2-3 key projects that best showcase these skills for potential discussion.

• Resume Optimization: Ensure your resume clearly states your years of experience in iOS development, specifically with SwiftUI, and your full-stack capabilities. Quantify achievements with metrics where possible (e.g., "Improved app performance by X%", "Reduced bug count by Y%").

• Interview Preparation: Practice articulating your technical expertise using the STAR method. Prepare to discuss your portfolio projects in detail, focusing on challenges, solutions, and outcomes, especially concerning AI integration and performance.

• Company Research: Familiarize yourself with McAfee's consumer security products, their mission, and recent news. Understand their commitment to innovation and security to align your responses with company values and objectives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.