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