Full Stack Developer in Mississauga

Birdseye’s mission is to help make the world a safer place! We are the leader in AI-driven Remote Facility Supervision solutions for the Trucking and Logistics Industry. Our Maximum Telepresence Approach™ delivers cutting-edge, data-driven security and operational insights that create a safer working environment for millions of people every year.

We provide end-to-end, cutting-edge hardware and AI-driven solutions, redefining security beyond traditional gatehouses. By empowering our professionally trained monitoring agents, we achieve 99.99% reporting accuracy in mission-critical security, safety, and operational support -24/7/365- for some of the world’s largest logistics facilities, as well as small and medium-sized businesses.

If you’re ambitious, thrive in a fast-paced environment, and align with our ICARE values, Birdseye will be the perfect fit for you. If you’re wondering what the world will look like in 10 years – join our Team!

We are looking for a Full Stack Developer who can build production software across the front end and back end. This needs to be an AI-native developer. You should have fundamentally changed how you develop software using agentic tools such as Claude Code, Cursor, or equivalent tools.

The candidate must be strong with:

• React and Redux on the front end
• Java with Spring Boot on the back end
• Node.js or Python

Strong production experience with:

• React
• Responsive web applications
• Component-based interface design
• Complex state and workflow management
• API integration
• Automated front-end testing

React and Redux depth is particularly important. The candidate should understand how to keep state, components, and user workflows maintainable as an application grows.

Strong production experience with:

• Java
• Spring Boot
• REST APIs
• Service and business-logic design
• Relational databases
• Authentication and authorization
• Integration and automated testing
• Production troubleshooting

You should also be productive with at least one of:

• Node.js
• Python

The candidate should use AI throughout the entire software-development lifecycle, including:

• Turning requirements into specifications
• Exploring and understanding existing codebases
• Evaluating architecture and implementation options
• Writing and refactoring code
• Reviewing code and pull requests
• Creating automated tests
• Performing QA
• Reproducing and debugging defects
• Writing technical documentation
• Preparing and validating releases

You should understand how to:

• Break substantial work into bounded assignments for subagents
• Run independent investigations or implementation tasks in parallel
• Give each agent the right context and constraints
• Reconcile multiple outputs into one coherent implementation
• Identify conflicting assumptions or missing integration points
• Manage the context window deliberately
• Summarize long-running work without losing important decisions
• Recognize when context has become stale or overloaded
• Validate AI-produced work before it reaches production

The candidate remains accountable for everything that AI produces. AI mastery does not replace technical judgment.

What you would own:

• Front-end implementation: Build clear, responsive React and Redux interfaces for complex operational workflows.
• Back-end implementation: Build APIs, integrations, and business logic using Java and Spring Boot.
• AI-native execution: Use agents throughout specification, implementation, review, testing, debugging, and documentation.
• Automated quality: Create meaningful unit, integration, API, and front-end tests.
• Production readiness: Consider failure handling, observability, security, performance, and maintainability before release.
• End-to-end delivery: Stay responsible for the capability after the initial code is written, including integration, release, production verification, and defect resolution.

Must-have experience:

• 7+ years of professional software-development experience
• Mastery of an agentic development tool such as Claude Code or Cursor
• Practical experience using AI for specifications, coding, reviews, QA, automated testing, debugging, and documentation
• Experience orchestrating subagents or parallel AI workflows
• A strong understanding of context-window management
• The technical judgment to verify, correct, and take ownership of AI-generated work
• Strong production experience with React and Redux
• Strong production experience with Java and Spring Boot
• Professional experience with either Node.js or Python
• Experience building and operating customer-facing web applications
• Experience with APIs, databases, integrations, and automated testing

Strong preference:

• Deep front-end experience with complex operational interfaces
• Material UI, DevExpress, or similar component-framework experience
• B2B SaaS or recurring-revenue product experience
• Experience with distributed services or event-driven workflows
• Production observability and incident-response experience
• Experience in logistics, security, IoT, video, computer vision, or workflow automation
• Created reusable AI instructions, agent workflows, development guardrails, or evaluation methods

This role will require the candidate to complete background checks (includes but not limited to: references, educational verification, criminal check, credit check – where applicable). Certain roles may also require testing.