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Senior Full Stack Software Engineer (AI-Augmented)

Housecall
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered Yesterday
PHPLaravelVue.jsReactTypeScriptMySQL
Free

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About the role

Housecall is seeking a Senior Full Stack Software Engineer for its healthcare technology products.

The engineer will design, build, deploy, and operate patient-facing and administrative healthcare features.

The team follows a You Build It, You Ship It culture with ownership through production and monitoring.

What you will do

  • Build and maintain full stack applications using PHP, Laravel, Vue, React, TypeScript, and MySQL.
  • Design and integrate REST and FHIR APIs.
  • Collaborate with Product, Design, and Engineering on solution design and product ideation.
  • Use AI tools to accelerate development while validating correctness, security, and maintainability.
  • Participate in code reviews and prevent AI-generated hallucinations from reaching production.
  • Build automated tests and contribute to CI/CD pipelines.
  • Deploy, monitor, troubleshoot, and support production systems.
  • Participate in incident reviews and post-mortems to improve reliability.
  • Share knowledge, mentor teammates, and contribute to engineering culture.

Experience requirements

  • At least five years of professional software engineering experience.
  • At least one year of AI-augmented software engineering experience.
  • Experience working in Agile or Scrum teams.
  • Experience owning software through deployment and production operations.
  • Cloud platform experience, preferably Azure.

Technical skills

  • PHP, Laravel, Vue.js, React, TypeScript, and MySQL.
  • REST APIs, FHIR, Git, CI/CD, automated testing, and application security.
  • Containerization such as Docker.
  • Object-oriented programming, SOLID or GRASP principles, and design patterns.
  • Clean, maintainable, and testable code practices.

Nice to have

  • Healthcare domain experience.
  • FHIR integration experience.

Success profile

Thinks analytically and solves problems pragmatically.

Takes ownership from ideation through production.

Uses AI as a force multiplier while applying engineering judgment.

Cares about quality, reliability, security, collaboration, knowledge sharing, and continuous improvement.

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