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

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 NativeApply 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 solutionsOwn features end-to-end: architecture, implementation, testing, deployment, and post-release monitoringChampion best practices for code quality, performance, accessibility, and security across platformsEvaluate and integrate AI tools/agents (e.g., code generation, automated testing, documentation generation) to improve engineering velocity and qualityMentor junior engineers on both technical delivery and AI-assisted workflowsParticipate in architectural decisions balancing web/mobile code reuse, performance, and maintainabilityContribute to CI/CD pipeline improvements, including AI-driven build/test optimization Required Skills & Experience T-shaped skill profile: deep expertise in at least one area (web or mobile) with solid working proficiency across the full stackStrong 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 stageExperience 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 mobileFamiliarity with CI/CD pipelines, version control (Git), and automated testing frameworksGood understanding of software architecture patterns and scalable system design Preferred Qualifications Telco industry experienceStrong cross-functional collaboration across product, design, QA, and DevOpsAbility to evaluate emerging AI tools critically and pragmatically (not just adopt for adoption's sake)Clear communicator, comfortable explaining technical tradeoffs to non-technical stakeholdersSelf-driven with a continuous-learning mindset, especially around fast-evolving AI tooling Experience Level 5+ years of professional software engineering experience (adjust based on actual seniority target)Demonstrated portfolio of shipped web and mobile applications