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Senior Software Engineer

Contract 58 CAD

Title: Senior Software Engineer

Location: Canada(Remote)

Mode: Contract
Role Overview

As a Senior Software Engineer on the nearshore team, you will serve as a senior full-stack developer for our B2B and B2C SaaS products, with a focus on building secure, scalable, and customer-centric platforms. You'll be hands-on with frontend and backend development across our React/TypeScript and NestJS/Node.js stack. This is a great opportunity to shape innovative applications that secure millions of small businesses and consumers while deepening your expertise in cybersecurity - a rapidly growing and impactful domain.

Key Responsibilities

  • Feature Development & Delivery
  • Deliver new technical features for B2B and B2C SaaS products.
  • Work closely with fellow engineers, the Product Manager, and UX Designer to scope engineering requirements and timelines for features.
  • Anticipate and communicate blockers and delays before they require escalation.
  • Continuously help improve the engineering culture, including practices and processes.
  • Explore and prototype the use of generative AI and large language models (LLMs) to drive product innovation.

Programming & Implementation

  • Write and deliver clean, maintainable, and well-tested code.
  • Implement front-end UI components using TypeScript and React Framework.
  • Implement RESTful API endpoints using TypeScript, NestJS, and Node.js.
  • Participate in peer code reviews to maintain code quality and adhere to engineering best practices.
  • Collaborate with developers to build reusable code and libraries for future use.
  • Implement software security requirements.
  • Leverage new and cutting-edge developer tools to enhance productivity and code quality.
  • Integrate APIs and services to deliver intelligent product features where applicable.

Software Design

  • Design API endpoints for features, define schemas, and generate documentation.
  • Design reusable and scalable React components for the front-end UI.
  • Make sound software design decisions with a focus on customer experience.
  • Consistently create optimal designs adhering to architectural best practices
  • Consider system performance, scalability, and reliability when defining technical designs.
  • Design and implement Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) pipelines to enable smart solutions.

Testing & Quality Assurance

  • Deliver well-tested code.
  • Write unit tests for APIs and front-end components.

Maintenance & Support

  • Troubleshoot, debug, maintain, and improve existing software.
  • Fix bugs, performance issues, and security vulnerabilities in the software.
  • Occasionally be on-call to resolve customer issues and address server alerts as needed.

Required Qualifications

  • 5+ years of experience in software engineering.
  • Experience writing code in JavaScript/TypeScript, HTML5, CSS3, or related applications.
  • Experience with front-end technologies and frameworks, preferably React.
  • API design and development experience using NestJS and Node.js.
  • Experience with application, network, and cloud security.
  • Experience with building and architecting microservices.
  • Strong computer science fundamentals and problem-solving/analytical skills.
  • Familiarity with version control systems (e.g., Git).
  • Understanding of agile software development lifecycle and DevOps principles.
  • Strong verbal and written communication skills, including the ability to communicate and explain technical decisions.
  • Good written and spoken English proficiency is required; this role involves regular communication with US-based stakeholders via Slack, Azure DevOps, and video calls.

Preferred Qualifications

  • Experience writing unit tests using testing frameworks such as Mocha, Jest, etc.
  • Understanding of SaaS (Software as a Service) product architectures, AWS/Azure/Google Cloud Stack, and networking.
  • Familiarity with developer tools like Claude Code. Experience with designing AI-enhanced systems such as Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) pipelines, and vector databases (e.g., Pinecone, Weaviate).

Education

  • Bachelor's degree in Computer Science or equivalent work experience
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