Full Stack Developer

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!RoleWe 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. We are not looking for someone who has merely tried ChatGPT, Copilot, or Claude. 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 and Java with Spring Boot on the back end. You should also be productive with either Node.Js or Python.Strong production experience with:ReactResponsive web applicationsComponent-based interface designComplex state and workflow managementAPI integrationAutomated front-end testingReact 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:JavaSpring BootREST APIsService and business-logic designRelational databasesAuthentication and authorizationIntegration and automated testingProduction troubleshootingYou should also be productive with at least one of:Node.JsPythonJava and Spring Boot remain the primary back-end requirement. Node.Js or Python expands the candidate’s ability to build supporting services, automation, developer tooling, tests, and integrations.This is a must-have, not a nice-to-have.The candidate should use AI throughout the entire software-development lifecycle, including:Turning requirements into specificationsExploring and understanding existing codebasesEvaluating architecture and implementation optionsWriting and refactoring codeReviewing code and pull requestsCreating automated testsPerforming QAReproducing and debugging defectsWriting technical documentationPreparing and validating releasesYou should understand how to:Break substantial work into bounded assignments for subagentsRun independent investigations or implementation tasks in parallelGive each agent the right context and constraintsReconcile multiple outputs into one coherent implementationIdentify conflicting assumptions or missing integration pointsManage the context window deliberatelySummarize long-running work without losing important decisionsRecognize when context has become stale or overloadedValidate AI-produced work before it reaches productionThe candidate remains accountable for everything that AI produces. AI mastery does not replace technical judgment.What you would ownFront-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 experienceThe ideal candidate has:7+ years of professional software-development experienceMastery of an agentic development tool such as Claude Code or CursorPractical experience using AI for specifications, coding, reviews, QA, automated testing, debugging, and documentationExperience orchestrating subagents or parallel AI workflowsA strong understanding of context-window managementThe technical judgment to verify, correct, and take ownership of AI-generated workStrong production experience with React and ReduxStrong production experience with Java and Spring BootProfessional experience with either Node.Js or PythonExperience building and operating customer-facing web applicationsExperience with APIs, databases, integrations, and automated testingStrong preferenceDeep front-end experience with complex operational interfacesMaterial UI, DevExpress, or similar component-framework experienceB2B SaaS or recurring-revenue product experienceExperience with distributed services or event-driven workflowsProduction observability and incident-response experienceExperience in logistics, security, IoT, video, computer vision, or workflow automationCreated reusable AI instructions, agent workflows, development guardrails, or evaluation methodsThis 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.
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