Sr. Software Engineer - Mobile App Development

Overview

Hands-on senior software engineer in the Patient Care Solutions Mobile Center of Excellence, delivering secure, scalable mobile features and shared mobile capabilities across products.

What you'll do

• Design, develop, test and deliver high-quality mobile application features, reusable components and shared capabilities.
• Collaborate with Product Owners, Architects, Tech Leads and UX teams to understand requirements, assess technical feasibility and translate requirements into implementable solutions.
• Participate actively in technical discussions, design reviews and architecture decisions, bringing a strong mobile engineering perspective.
• Apply established Mobile CoE architecture patterns, coding standards and engineering practices, while contributing improvements based on implementation experience.
• Build reusable mobile components, libraries and common capabilities that can be adopted across applications where appropriate.
• Maintain high code quality through clean design, code reviews, unit testing, automated quality checks and secure coding practices.
• Understand the end-to-end application architecture, APIs, AWS services and integrations while developing deep expertise in assigned components.
• Analyze and improve mobile application performance, reliability, security and user experience using appropriate profiling, diagnostics and engineering practices.
• Implement appropriate mobile security practices including authentication, authorization, secure storage, session/token management and protection of sensitive data.
• Build appropriate logging, telemetry, crash reporting and observability into mobile applications to support troubleshooting and operational monitoring.
• Contribute to automated build, test, CI/CD and release processes and continuously improve engineering efficiency.
• Troubleshoot complex technical issues, participate in root-cause analysis and implement sustainable corrective solutions.
• Adopt an AI-first engineering mindset, using AI-assisted tools throughout the SDLC for code generation, refactoring, debugging, test generation, code understanding, technical documentation and developer productivity.
• Identify opportunities to use AI to automate repetitive engineering activities, accelerate development and improve software quality, while ensuring appropriate human review and validation.
• Apply responsible AI-assisted development practices, ensuring generated code and recommendations are reviewed for correctness, security, maintainability and compliance.
• Share technical knowledge, reusable solutions, AI-enabled engineering practices and implementation learnings across the Mobile CoE.

What you'll need

• Strong hands-on software engineering experience, preferably 7+ years, with significant experience in mobile application development.
• Strong experience with one or more modern mobile technologies such as Flutter, React Native, iOS/Swift or Android/Kotlin.
• Strong understanding of mobile application architecture, design patterns, state management, navigation, application lifecycle and API integration.
• Experience building reusable mobile components, SDKs, libraries or shared capabilities across applications.
• Strong knowledge of mobile application performance optimization including startup, responsiveness, memory/resource utilization and network performance.
• Good understanding of UX principles, accessibility and mobile design systems.
• Strong understanding of authentication, authorization, secure storage, encryption, session/token management and secure mobile development practices.
• Experience integrating mobile applications with REST APIs and AWS-hosted backend services.
• Experience with automated testing including unit, integration and mobile UI automation.
• Experience with mobile build automation and CI/CD pipelines.
• Experience with logging, telemetry, crash reporting, diagnostics and application performance monitoring.
• Working knowledge of AWS and cloud-integrated mobile architectures, with an understanding of reliability, performance, security and cost-conscious engineering.
• Experience with static code analysis, security scanning and vulnerability remediation.
• Strong understanding of Agile/SAFe software development practices.
• Strong practical experience using AI coding assistants and AI-enabled engineering tools for coding, refactoring, debugging, test generation, documentation and code review support.
• Ability to critically evaluate AI-generated solutions rather than accepting generated code by default, with appropriate attention to security, quality, maintainability and accuracy.
• Ability to identify opportunities where AI can improve developer productivity, engineering automation and software quality.

Nice to have

• Exposure to building or integrating AI-enabled application capabilities is an advantage.
• Experience developing healthcare, regulated or security-sensitive applications is preferred.
• Professional training or certifications related to iOS, Android, Flutter, React Native or other relevant mobile technologies.
• AWS cloud fundamentals or developer certification.
• Training or certification related to AI-assisted software development, application security, DevOps, Agile or software architecture is an advantage.

Details

• Location: Bengaluru, India (EPIP 122, Phase II).
• Relocation assistance: No.