**Full Stack Developer**, **Backend Engineer**, **Ruby on Rails Specialist**, **AI-Driven Software Architect**, **Cloud Infrastructure Expert**

Há 3 dias

Recife, Pernambuco, Brasil beBee**fullstackengineer Tempo inteiro R$82.000 - R$97.000

Join us in building a world-class backend and user-facing layer for our mobile app. As a Full Stack Engineer, you'll play a key role in enhancing, scaling, and evolving our infrastructure to meet the demands of a fast-paced startup environment.

Responsibilities
  • Backend Development: Design, build, and maintain efficient, reusable, and reliable Ruby on Rails code across backend and full-stack systems
  • API Development: Build and maintain robust APIs (GraphQL/OpenAPI) to support our mobile and web applications
  • AI Integration: Explore and integrate AI tools (e.g., LLMs, vector search, embeddings, or GitHub Copilot) to accelerate product features and development workflow
  • Collaboration: Collaborate on architecture decisions, scaling infrastructure, and ensuring security best practices with cross-functional teams
  • Performance Tuning: Identify and eliminate performance bottlenecks, bugs, and inefficiencies

Qualifications

  • Backend Experience: 5+ years of experience in backend API development using Ruby on Rails
  • Full Stack Development: Strong experience in full stack development (bonus: Python, TypeScript, JavaScript, Ember.js, React, Angular, or similar)
  • Architecture Knowledge: Proficiency with GraphQL, OpenAPI, and RESTful architectures
  • Technical Skills: Advanced knowledge of Ruby 3, Rails 7, and PostgreSQL/MySQL
  • Deployment Experience: Experience deploying and maintaining apps on Heroku (or AWS/GCP equivalents)
  • Programming Paradigms: Solid grasp of object-oriented programming, MVC, and ORM frameworks
  • AI Familiarity: Familiarity with AI APIs or tools (e.g., OpenAI, LangChain, Hugging Face) or a strong interest in learning
  • DevOps Knowledge: Working knowledge of DevOps, CI/CD pipelines, and cloud architecture
  • Troubleshooting: Strong experience in debugging, testing, and performance tuning

Preferred Qualifications

  • AI/ML Experience: Previous experience integrating AI/ML models into consumer-facing products
  • Contributions: Contributions to open-source projects or developer communities
  • Microservices: Experience with microservices architecture or serverless patterns

About Us

  • Team Culture: We're a team that believes code should be clean, readable, and purposeful
  • Product Vision: We see AI not as a threat but as a tool to amplify great engineering
  • Collaboration: We love collaborating with product, design, and marketing to create impact
  • Startup Environment: We thrive in fast-paced startup environments and take initiative

How to Apply

  • Application Process: Please submit your application to careers@thinkdirtyapp.com with the subject line:

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