Pessoa Desenvolvedora Especialista — Plataforma De Engenharia (idp / Backstage)
Portas Com Br
Remote, Brazil
Fully remote
Advanced typescript and node.js proficiency
React frontend development expertise
Backstage platform customization experience
Portas Com Br is seeking an experienced Back-End Developer to work on their engineering platform, focusing on creating innovative technologies for their clients. The role involves hands-on development of platforms using TypeScript, Node.js, and React, with a strong emphasis on collaboration and continuous learning
Job Summary
The role focuses on building and evolving engineering platforms based on Backstage to challenge the best technologies in the world.
You will work hands-on to create plugins, integrations, and templates while ensuring high quality and performance for developer experience.
The company values continuous growth and seeks professionals who thrive in a collaborative, curiosity-driven culture.
Matching Summary
Match Score: 85
Portas Com Br is seeking an experienced Back-End Developer to work on their engineering platform, focusing on creating innovative technologies for their clients. The role involves hands-on development of platforms using TypeScript, Node.js, and React, with a strong emphasis on collaboration and continuous learning.
Skills & Requirements
Must-have
Advanced TypeScript and Node.js proficiency
React frontend development expertise
Backstage platform customization experience
PostgreSQL database modeling skills
REST and GraphQL API integration
AWS or Azure cloud environment knowledge
CI/CD pipeline implementation
Nice-to-have
Open-source contributions to Backstage ecosystem
Experience with Go, Python, or Java languages
Infrastructure as Code (Terraform) knowledge
Strong ownership and technical leadership mindset
Mentoring and continuous learning culture fit
Key Requirements
Solid full-stack development experience for large-scale applications
Deep understanding of software engineering principles like SOLID and clean code
Familiarity with containerization using Docker and Kubernetes