Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)

Extreme Networks

Toronto

On-site

CAD 110,000 - 170,000

Full time

6 hours ago
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Job summary

Extreme Networks is seeking an experienced Senior Full Stack Developer to build robust GenAI-powered end-to-end solutions. You will blend backend services in Java and Python with modern UI in Angular and React to deliver scalable, secure enterprise platforms.

You will architect microservices, integrate ML models, and optimize APIs (REST/GraphQL/gRPC), while mentoring junior developers and collaborating with cross-functional teams in an agile environment.

Qualifications

  • 7+ years of professional experience as a full stack or combined backend/frontend engineer.
  • Strong skills in Java and Python, with experience in microservices and distributed systems.
  • Deep knowledge of FastAPI, OpenAPI, gRPC, and asynchronous workflows.
  • Proficiency with SQL and NoSQL databases, distributed computing (Kafka, Redis, RabbitMQ), and performance optimization.
  • Frontend expertise with Angular and React, including TypeScript, JavaScript (ES6+), HTML5, CSS3/SASS.
  • Strong grasp of state management frameworks (Redux, NgRx, etc.).
  • Proven ability to build responsive, accessible, and performant enterprise UIs.
  • Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of security best practices across the stack.
  • Excellent collaboration, problem-solving, and communication skills.

Responsibilities

  • Design, implement, and optimize end-to-end solutions for GenAI applications, from backend services to user-facing interfaces.
  • Build modular and reusable UI components in Angular and React, ensuring responsive and accessible interfaces.
  • Develop and optimize backend services and APIs (REST, GraphQL, gRPC) to support real-time AI-driven applications.
  • Architect and maintain distributed microservices (synchronous and asynchronous) using Java, Python, and FastAPI.
  • Integrate ML models into scalable, production-ready systems in collaboration with ML engineers and scientists.
  • Manage workflow orchestration with DAGs and asynchronous task queues.
  • Implement automated testing, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments (AWS, Azure, GCP).
  • Ensure security, performance optimization, and fault tolerance in backend systems.
  • Collaborate with UX and product teams to create human-in-the-loop AI experiences with Angular and React.
  • Mentor junior developers, promote coding standards, and drive best practices across front-end and back-end development.

Skills

Full stack development
Java
Python
Angular
React
REST APIs
GraphQL
gRPC
TypeScript
CI/CD

Tools

Docker
Kubernetes
FastAPI
OpenAPI
SQL
NoSQL
AWS
Azure
GCP
Redis
Kafka
RabbitMQ

Job description

We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our high-performing agile team. This role focuses on building robust, scalable, and user-friendly end-to-end solutions for GenAI applications, combining cutting-edge backend services with intuitive front-end experiences.

Key Responsibilities
  • Full Stack Development
  • 5+ years
  • Design, implement, and optimize end-to-end solutions for GenAI applications, from backend services to user-facing interfaces.
  • Build modular and reusable UI components in Angular and React, ensuring responsive and accessible interfaces.
  • Develop and optimize backend services and APIs (REST, GraphQL, gRPC) to support real-time AI-driven applications.
Backend Egineering
  • Architect and maintain distributed microservices (synchronous and asynchronous) using Java, Python, and FastAPI.
  • Integrate ML models into scalable, production-ready systems in collaboration with ML engineers and scientists.
  • Manage workflow orchestration with DAGs and asynchronous task queues.
  • Implement automated testing, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments (AWS, Azure, GCP).
  • Ensure security, performance optimization, and fault tolerance in backend systems.
Frontend Engineering
  • Collaborate with UX and product teams to create human-in-the-loop AI experiences with Angular and React.
  • Implement robust state management (Redux, NgRx, or equivalent) for real-time, data-intensive applications.
  • Optimize rendering, bundle size, and performance for enterprise-scale UIs.
  • Lead UI testing (Jest, Cypress, Playwright, Jasmine, Karma) to maintain quality and reliability.
Collaboration & Leadership
  • Work closely with cross-functional teams to deliver cohesive GenAI-powered products.
  • Mentor junior developers, promote coding standards, and drive best practices across front-end and back-end development.
  • Communicate effectively with technical and non-technical stakeholders, ensuring transparency and alignment.
Qualifications
  • 7+ years of professional experience as a full stack or combined backend/frontend engineer.
  • Backend expertise:
  • Strong skills in Java and Python, with experience in microservices and distributed systems.
  • Deep knowledge of FastAPI, OpenAPI, gRPC, and asynchronous workflows.
  • Proficiency with SQL and NoSQL databases, distributed computing (Kafka, Redis, RabbitMQ), and performance optimization.
  • Frontend expertise:
  • Expert-level experience with Angular and React, including TypeScript, JavaScript (ES6+), HTML5, CSS3/SASS.
  • Strong grasp of state management frameworks (Redux, NgRx, etc.).
  • Proven ability to build responsive, accessible, and performant enterprise UIs.
  • Cloud & DevOps: Hands-on with AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of security best practices across the stack.
  • Excellent collaboration, problem-solving, and communication skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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