AME
AME
AME develops accessibility and inclusion initiatives for companies and public institutions, helping expand the participation and citizenship of people with disabilities. Its work combines consulting, healthcare-oriented support, and technology through services such as real-time Libras interpretation by video call, accessible media with subtitles and sign-language windows, corporate accessibility consulting, training, and social-support programs. The organization also develops technology and innovation projects through AME Lab, including Vivap, a supported shared-housing solution, and Anglis, which automates home monitoring for atypical behavior. AME brings together social impact, assistive technology, and governance-focused practices across its multidisciplinary operations.

Senior Full-Stack Developer (Python and React) - Remote Brazil

Senior Full-Stack Developer role building AME’s platform with Python and React. Work across computer vision, AI, IoT, and cloud computing solutions.

Description

  • Build and improve Python backend services and React frontend applications
  • Develop and maintain APIs, services, and image and event processing pipelines
  • Shape platform architecture for scalability, security, and strong performance
  • Improve systems, databases, and high-volume data processing workflows
  • Connect applications, IoT devices, sensors, and cloud services
  • Assist with deployments, monitoring, troubleshooting, and production maintenance
  • Work with Git and contribute to code reviews
  • Record solutions, processes, and technical decisions
  • Support the team by sharing technical practices and knowledge

Requirements

  • Bachelor’s degree in Information Technology, Systems Analysis, Engineering, or a related discipline
  • Substantial full-stack development experience with Python and React
  • Understanding of REST APIs, distributed systems, microservices, and asynchronous processing
  • Experience using IoT protocols including MQTT, HTTP, and RTSP
  • Knowledge of Linux, application monitoring, and log analysis
  • Hands-on experience with AWS, Docker, and cloud environments
  • Experience working with SQL and NoSQL databases
  • Knowledge of Git, CI/CD, and deployment automation
  • Experience supporting highly available, mission-critical production systems
  • Ability to locate performance bottlenecks and recommend scalable solutions
  • Preferred: experience with computer vision, AI, YOLO, pose estimation, and depth estimation
  • Preferred: familiarity with TensorRT, ONNX, MLflow, Kubernetes, EKS, Terraform, AWS CDK, Prometheus, ELK, Loki, Jaeger, OpenTelemetry, Kafka, RabbitMQ, SQS, ESP32, and IoT solutions

Benefits

  • Supportive, collaborative, and inclusive workplace
  • Continuous professional development and training opportunities
  • Wellness and emotional health programs
  • Work on projects with meaningful social impact

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