Senior Elixir Full-Stack Engineer: Edge & Cloud

Invision AI Inc.; Toronto; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Equity

RRSP Plan

Health and Dental

4 weeks holiday

Job summary

Invision AI Inc. is seeking a Senior Full Stack Developer in Toronto to join our team working on real-time distributed edge and cloud systems.

You will contribute to machine learning, image processing, and video processing projects and help scale our universal AI platform for intelligent infrastructure and mobility. The role involves owning design and development of cloud and edge architectures, building front-end and back-end components, and prototyping new features with modern tech.

Qualifications

• 5+ years of experience deploying web applications.
• Experience with Elixir and Phoenix LiveView.
• Experience with Django or Ruby on Rails and relational databases.
• Familiar with Docker, Linux and web servers (Nginx/Apache).
• Experience with Kubernetes deployment or similar distributed systems.
• Experience with AWS, Google Cloud or equivalent.
• Experience in HTML, CSS and JavaScript.
• Knowledge of modern CI/CD practices and Test-Driven Development.
• Strong written and oral communication.
• Awareness of web security practices.

Responsibilities

• Take ownership in designing and developing cloud and edge infrastructure, web apps, and APIs.
• Design and implement client-side and server-side architecture.
• Recommend, implement, and manage infrastructure for product lines.
• Build the front-end of applications with appealing visuals.
• Prototype new features using cutting-edge technologies.
• Write technical documentation.

Skills

Elixir

Phoenix LiveView

Django/Rails

Docker

Linux

Nginx/Apache

Kubernetes

Cloud platforms

HTML/CSS/JS

TDD/CI

Security

Communication

Tools

Docker

Nginx

Apache

Kubernetes

AWS

Google Cloud

Job description

Invision AI Inc. is seeking a Senior Full Stack Developer in Toronto to join our team working on real-time distributed edge and cloud systems.

You will contribute to machine learning, image processing, and video processing projects and help scale our universal AI platform for intelligent infrastructure and mobility. The role involves owning design and development of cloud and edge architectures, building front-end and back-end components, and prototyping new features with modern tech.