full stack developer

nnovativ inc; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading technology company is seeking a senior full-stack developer to spearhead the design and delivery of scalable cloud applications. The ideal candidate will have a strong command of modern technologies including React, Python, and Azure, alongside experience in AI/ML frameworks and mentoring within Agile teams. This full-time hybrid position in Toronto offers competitive pay and an opportunity to shape development processes.

Qualifications

• 10+ years of experience delivering complex applications.
• Advanced proficiency in React, Python, Node.js, .NET Core.
• Strong experience in mentoring and collaboration.

Responsibilities

• Lead development efforts and ensure on-time delivery.
• Mentor junior developers and promote technical excellence.
• Design and manage CI/CD pipelines using Azure DevOps.

Skills

React.js

Python

Azure DevOps

Java Spring Boot

CI/CD pipelines

TensorFlow

PyTorch

Job description

Posted onJuly 08, 2025 by Employer details nnovativ inc

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full stack developer

Posted onJuly 08, 2025 by Employer details nnovativ inc

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Job details

*Job Summary*We are seeking a senior full-stack developer to lead the design and delivery of scalable cloud applications. Must have expertise in React, Python (FastAPI), .NET Core, Azure, and CI/CD pipelines, as well as experience with AI/ML (TensorFlow, PyTorch) and mentoring in Agile teams is a strong asset.*Responsibilities** Lead development efforts, taking ownership of design, implementation, and on-time delivery.* Apply and uphold engineering best practices within an Agile (Scrum/Kanban) team.* Collaborate with product managers, UX designers, and analysts to deliver robust applications.* Mentor junior developers and promote technical excellence.* Build and maintain full-stack applications, REST APIs, and microservices.* Design and manage CI/CD pipelines using Azure DevOps, Docker, and Kubernetes (AKS).* Translate technical requirements into reliable, testable code.* Work with data scientists to integrate and deploy AI models.* Support ETL processes and ensure secure, scalable deployments.*Required Skills** 10+ years of experience delivering complex applications.* Strong leadership, mentoring, collaboration, and communication skills.Advanced proficiency in:* React.js (Hooks, Context), Next.js, TypeScript, HTML5, CSS3/SCSS, Axios.* Python (FastAPI), Node.js, Java Spring Boot, .NET Core/C#.* Azure SQL, Cosmos DB, Key Vault, Git, GitHub, ARM templates.* Docker, Kubernetes, YAML, CI/CD with Azure DevOps.* TensorFlow, PyTorch, OpenCV, large dataset handling, model evaluation.* Cloud-native design, microservices, serverless architecture, reusable components.*Must Have** *Advanced proficiency in React.js*, including functional components, Hooks, and state management using Context API.* *Strong experience with modern Python (3.7+)*, with a focus on building scalable RESTful APIs using *FastAPI*.* Practical experience with *Node.js* and *Java Spring Boot* for backend development.* Proven expertise in *.NET Core (C#)*, including developing services and Web APIs.* Experience with *image processing and manipulation*, ideally using libraries such as OpenCV or PIL.* Hands-on experience with deep learning frameworks such as *TensorFlow* and *PyTorch*.* Solid understanding and application of *software architecture principles and design patterns*, including *microservices*, *serverless architecture*, and *RESTful API design*.* Experience with *Azure DevOps*, including designing and maintaining robust *CI/CD pipelines*.Job Type: Full-timePay: $100.00-$125.00 per hourExpected hours: 7.25 per weekSchedule:* Monday to FridayExperience:* React.js: 6 years (required)* Python: 6 years (required)* Azure Devops: 6 years (required)Work Location: Hybrid remote in Toronto, ON

• Location Toronto , ON
• Workplace information Hybrid
• Salary $ 100.00 to $ 125.00 HOUR hourly
• Terms of employment Full time
• Starts as soon as possible
• vacancies 1 vacancy
• Source indeed.com #9804225743

• Toronto, ON

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