Mobile Software Engineer

Nityo Infotech; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Nityo Infotech is seeking a Senior Software Engineer to lead full-stack web and mobile development using React and React Native, leveraging AI-enabled development practices across design, coding, testing, and deployment. The role emphasizes end-to-end ownership, performance optimization, and collaboration with cross-functional teams in a fast-paced environment.

The ideal candidate has 5+ years of experience and a strong portfolio of shipped web and mobile applications, with a hands-on approach

Qualifications

• 5+ years of professional software engineering experience.
• Demonstrated portfolio of shipped web and mobile applications.

Responsibilities

• Design, develop, and maintain web and mobile applications using React and React Native.
• Apply AI-enabled SDLC practices across the full development lifecycle.
• Collaborate with product, design, and QA teams to translate requirements into scalable solutions.
• Own features end-to-end: architecture, implementation, testing, deployment, and monitoring.
• Champion best practices for code quality, performance, accessibility, and security.

Skills

React

React Native

AI-assisted development

REST/GraphQL

CI/CD pipelines

Code quality

Performance optimization

Mentorship

Cross-functional collaboration

Tools

Git

CI/CD tools

AI tooling

Job description

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

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

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

• 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