Senior Full Stack Engineer - Nodejs & React - Enterprise Solutions Inc. (Halifax Regional Munic[...]

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 opportunity to work on cutting-edge 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
• 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
• 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 Weaviate
• 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
• 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 JavaScript, TypeScript, HTML, and 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, or similar
• 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), vector databases such as Pinecone and Weaviate, and LLM integrations and AI orchestration frameworks