Senior Software Engineer – Full-Stack & Mobile (AI-Enabled Development)

Must Have Skills:

·       T-shaped skill profile: deep expertise in at least one area (web or mobile) with solid working proficiency across the full stack

• Strong hands-on experience with React (web) and React Native (mobile/cross-platform)
  
• Solid understanding of mobile app development fundamentals (iOS/Android build processes, app store deployment, native module integration)
  
• Practical understanding of all phases of an AI-enabled SDLC: requirements/planning, design, development, testing, deployment, and monitoring — and where AI tools add value at each stage
  
• Experience using AI coding assistants/copilots in a professional development workflow (not just casually)
  
• Strong grasp of state management, API integration (REST/GraphQL), and performance optimization on both web and mobile
  
• Familiarity with CI/CD pipelines, version control (Git), and automated testing frameworks
  
• Good understanding of software architecture patterns and scalable system design
  

Nice to Have Skills:
Nice to have skills (Top 2 only)

1. Telco industry experience

2. Ability to evaluate emerging AI tools critically and pragmatically (not just adopt for adoption's sake)

Detailed Job Description
About the Role

We're looking for a T-shaped engineer who can move fluidly across web and mobile platforms while operating within a modern, AI-augmented software development lifecycle. You'll build and ship production-grade applications using React and React Native, while leveraging AI tooling to accelerate design, development, testing, and deployment. Experience in telco environments is a strong plus, given the scale and regulatory nuances of that industry.

Key Responsibilities

• Design, develop, and maintain web and mobile applications using React and React Native
  
• Apply AI-enabled SDLC practices across the full development lifecycle — from requirements and design (AI-assisted specs, user stories) to coding (AI pair-programming/copilots), testing (AI-generated test cases, automated QA), code review, and deployment (AI-assisted CI/CD, monitoring, and incident triage)
  
• Collaborate with product, design, and QA teams to translate requirements into scalable technical solutions
  
• Own features end-to-end: architecture, implementation, testing, deployment, and post-release monitoring
  
• Champion best practices for code quality, performance, accessibility, and security across platforms
  
• Evaluate and integrate AI tools/agents (e.g., code generation, automated testing, documentation generation) to improve engineering velocity and quality
  
• Mentor junior engineers on both technical delivery and AI-assisted workflows
  
• Participate in architectural decisions balancing web/mobile code reuse, performance, and maintainability
  
• Contribute to CI/CD pipeline improvements, including AI-driven build/test optimization