Full-Stack Engineer

Required Qualifications

• 3+ years of professional full-stack development experience.
• Front end (one or more): React / or Angular / or Vue.js.
• Back end (one or more): Node.js / or Python (FastAPI/Django/Flask).
• Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3.
• Experience designing and consuming REST or GraphQL APIs.
• Solid with relational databases (PostgreSQL/MySQL) and ORMs; familiarity with Redis or DynamoDB is a plus.
• Comfortable with Git-based workflows and pull requests.
• Performance-minded: profiling, caching, pagination, bundle splitting, DB indexing.
• Security basics: auth (OAuth2/JWT), input validation, OWASP awareness.

Soft Skills

• Excellent problem-solving aptitude and strong communication skills.
• Ability to work cross-functionally in agile teams and mentor peers.

Preferred Qualifications

• Next.js (App Router), TanStack Query/RTK Query on the front end.
• Cloud & DevOps: Docker, AWS (ECS/Lambda/S3/CloudFront/RDS), CI/CD (GitHub Actions/Bitbucket Pipelines).
• Testing: Jest/Vitest, Cypress/Playwright, Pytest/JUnit; contract and integration testing.
• Realtime: WebSockets/WebRTC; background jobs and message queues (SQS/SNS/Kafka).
• Experience with Client-Side ML Libraries
• TensorFlow.js for in-browser inference/training.
• ONNX Runtime Web/onnx.js for standardized model runtimes in the browser.
• Data Handling & Formatting: Work fluently with JSON; structure payloads to match model input/output contracts; visualize results clearly (charts, overlays, timelines).
• Awareness of model limitations: account for inference latency; use loading/skeleton states, timeouts, and graceful fallbacks.
• Experience with data visualization (Recharts/Chart.js/Plotly/D3).

Responsibilities

• Build reusable UI components and front-end features with React / Angular / Vue.
• Design, implement, and maintain back-end services using Node.js / Python / Java.
• Model data, write efficient queries, and tune performance (indexes, caching).
• Integrate REST/GraphQL APIs, WebSockets, and third-party services.
• Integration ML/AI endpoints (REST/GraphQL) asynchronously (fetch/axios), handle retries, timeouts, and error states gracefully.
• Ensure apps are responsive, accessible (a11y), and cross-browser compatible.
• Implement authentication/authorization, input validation, and secure coding practices.
• Add observability: meaningful logs, metrics, traces; participate in on-call/triage as needed.
• Write and maintain unit/integration/e2e tests; participate in code reviews.
• Collaborate in agile ceremonies—refinement, planning, stand-ups, and retrospectives.