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Fullstack Mobile Engineer

Kitabisa

3.2
2 reviews
Kitabisa
Job Type   /   Job Level
Contract   /   Others/Any
Company Location
Indonesia
  • Collaborate with cross-functional teams to innovate, build, and enhance our digital products.
  • Develop and improve Kitabisa’s and SalingJaga’s mobile applications and related user-facing platforms to better support our users.
  • Build scalable, maintainable, and testable architecture for new and existing features across mobile and frontend surfaces.
  • Drive engineering best practices, including reusable modules, shared components, clean code standards, and sustainable development workflows.
  • Use modern AI coding agents and developer tools effectively to accelerate delivery while maintaining high standards for quality, reliability, and security.
  • Contribute to an engineering culture that embraces practical AI adoption, thoughtful tool experimentation, shared context systems, automation, and efficient token usage.
  • Improve the security, performance, and reliability of applications across supported platforms.
  • Work closely with Engineering Managers and Product Managers to deliver projects on time and aligned with business goals.
  • Contribute to team growth through mentorship, knowledge sharing, and active participation in technical discussions.

Minimum Qualifications

  • At least 2 years of experience in software engineering, with hands-on experience in one or more of the following areas: frontend, iOS, or Android development.
  • Strong proficiency in at least one relevant technology stack, such as Swift, Kotlin, Dart, or modern frontend technologies, including Tailwind-based UI development.
  • Solid understanding of software engineering fundamentals, platform-specific capabilities, and platform-specific constraints.
  • Comfortable building and maintaining scalable, testable, and maintainable applications across multiple environments.
  • Hands-on experience using modern AI-assisted and agentic development workflows to improve productivity and code quality.
  • Familiarity with modern AI engineering tools and protocols, including coding agents, MCP, ACP, context-aware tooling, and efficient token usage practices.
  • Able to use AI tools critically and responsibly, with good judgment around code quality, security, performance, and maintainability.
  • Excellent communication skills, with a proactive mindset and the ability to contribute to technical discussions and decision-making.
  • Experience collaborating with cross-functional teams in a fast-paced product environment.
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