Full Stack Developer

Job Description:

Responsibilities

• Design and develop full-stack features from spec to production (UI, API, data models, tests, and observability).
• Build responsive, accessible UIs and dashboards for time-series analytics, excellent visualization, alerts, and workflows.
• Design and implement secure, and scalable services and REST/GraphQL APIs and maintain their documentation.
• Model and optimize databases (SQL/NoSQL/time-series) for performance and cost.
• Maintain CI/CD pipelines, basic infra configs, and deployment hygiene (feature flags, rollbacks, metrics)
• Write unit/integration/e2e tests; contribute to code reviews, documentation, and engineering standards.
• Collaborate with product & DS teams to translate user needs into robust, scalable solutions.

Qualification & Experience

• Strong with JavaScript/TypeScript and modern React (hooks), plus Node.js (Express).
• Experience with one or more: React.Js, Next.js, Redux/Zustand, TanStack Query.
• Data-viz (e.g., D3, Plotly, ECharts), time-series stores (Timescale/Influx/Timestream), and messaging/streaming (Kafka/SQS).
• Backend fundamentals: API design, auth (JWT/OAuth), caching, rate-limiting, pagination, error handling, etc.
• Databases: solid SQL (PostgreSQL/MySQL) and NoSQL (MongoDB and Redis); excellent command over schema design strategies, and query optimization.
• Excellent knowledge of Docker, CI/CD (GitHub Actions/Jenkins) and cloud (AWS/Azure).
• Testing in practice: Must have written unit/integration/e2e tests. Jest/Playwright/Cypress (or similar), and comfort with API & e2e test automation.
• Proven experience of developing scalable, responsive, and highly intuitive UIs and dashboards for time-series analytics, insights visualization, reporting functionalities, and other user workflows. Demonstrate excellent front-end capabilities.
• Strong ownership, documentation discipline, and product mindset. Must have contributed to code reviews, documentation, and engineering standards.
• 3+ years of proven experience in developing production grade full-stack applications using the MERN stack.
• Experience with microservices, event-driven patterns, and observability (OpenTelemetry/Prometheus/Grafana).
• Domain exposure to energy/IoT, ML/LLM integration, or geospatial/meteorological datasets.