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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 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
Required Skills & Experience
- 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
Preferred Qualifications
- Telco industry experience
- Strong cross-functional collaboration across product, design, QA, and DevOps
- Ability to evaluate emerging AI tools critically and pragmatically (not just adopt for adoption's sake)
- Clear communicator, comfortable explaining technical tradeoffs to non-technical stakeholders
- Self-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
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