Senior Full Stack Engineer - Nodejs & React - Enterprise Solutions Inc. (Burnaby)

Enterprise Solutions (Burnaby BC, Canada) Follow 14 hours ago

Senior Software Engineer – Full Stack (Cybersecurity SaaS)

We are seeking experienced Senior Full-Stack Software Engineers to join our growing engineering team and help build secure, scalable, and customer-centric SaaS products serving both B2B and B2C markets. This role offers the prospect to work on innovative cybersecurity solutions that protect millions of consumers and small businesses.

Key Responsibilities

Design, develop, and deliver new features for cybersecurity SaaS platforms
Collaborate closely with Product Managers, UX Designers, and Engineering teams to define technical requirements and implementation plans
Estimate development effort and proactively identify risks, blockers, and dependencies
Contribute to continuous improvement of engineering practices, processes, and team culture
Research, prototype, and evaluate Generative AI and Large Language Model (LLM) capabilities to drive product innovation

Full-Stack Development

Develop clean, maintainable, scalable, and well‑tested software solutions
Build responsive and reusable frontend applications using React and TypeScript
Develop RESTful APIs and backend services using NestJS and Node.js
Implement software security best practices across application layers
Participate in code reviews and contribute to engineering standards and best practices
Develop reusable components, libraries, and shared services
Integrate third‑party APIs and intelligent services into product solutions
Utilize modern development tools and AI‑assisted engineering platforms to improve productivity and code quality

Solution Design & Architecture

Design scalable API architectures, schemas, and technical documentation
Develop reusable frontend component architectures and design systems
Make sound architectural decisions focused on scalability, maintainability, security, and customer experience
Design microservices‑based solutions and distributed systems
Evaluate and optimize system performance, reliability, and scalability
Design and implement AI‑enhanced solutions leveraging Model Context Protocol (MCP), Retrieval‑Augmented Generation (RAG), and vector databases such as Pinecone and Weaviat

Testing & Quality Assurance

Develop and maintain comprehensive unit and integration tests
Ensure software quality through automated testing and peer reviews
Follow test‑driven and quality‑focused development practices

Maintenance & Production Support

Troubleshoot, debug, and resolve software defects and performance issues
Address application security vulnerabilities and operational incidents
Support production environments and participate in on‑call rotations when required
Continuously enhance existing products and services

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
5+ years of professional software development experience
Strong proficiency in JavaScrip, TypeScrip, HTML, CSS
Hands‑on experience building modern web applications using React
Strong experience developing RESTful APIs using NestJS and Node.js
Experience designing and implementing microservices architectures
Understanding of application security, cloud security, and networking fundamentals
Strong knowledge of software engineering principles, data structures, algorithms, and system design
Experience with Git and modern version control practices
Understanding of Agile development methodologies and DevOps practices
Excellent analytical, troubleshooting, and problem‑solving skills
Strong verbal and written communication skills
Professional English proficiency with the ability to collaborate effectively with US‑based stakeholders via Slack, Azure DevOps, and video conferencing

Preferred Qualifications

Experience with unit testing frameworks such as Jest, Mocha
Experience with SaaS platform architecture and multi‑tenant systems
Exposure to cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform (GCP)
Understanding of cloud‑native application development and deployment
Experience with developer productivity tools and AI‑assisted coding platforms
Experience designing and implementing AI‑powered applications
Knowledge of Model Context Protocol (MCP), Retrieval‑Augmented Generation (RAG), and vector databases (Pinecone, Weaviate, etc.)
LLM integrations and AI orchestration framework

Desired Skills