Senior Full-Stack Developer (Real-Time Systems & Intelligence Platforms)

Role Overview:

We are seeking an exceptionally skilled Senior Full-Stack Developer to lead the development of a mission-critical, high-performance intelligence platform. You will be responsible for building complex, real-time data visualization systems and integrating advanced geospatial layers with a custom AI-driven communication engine. This role requires a "T-shaped" engineer with deep expertise across the entire stack—from low-latency backends and high-concurrency data processing to sophisticated, interactive frontends.

Key Responsibilities:

- Full-Stack Architecture: Design and implement scalable, secure, and high-availability web applications from scratch using modern frameworks.

- Geospatial Engineering: Develop multi-dimensional GIS (Geographic Information System) layers to visualize dynamic footprints and localized data zones using advanced mapping tools.

- Real-Time Data Integration: Architect custom communication gateways and manage full-duplex data streaming via high-speed WebSockets.

- Intelligence Dashboards: Build sophisticated, real-time dashboards that aggregate disparate data feeds into intuitive, actionable visual intelligence for monitoring and decision-making.

- AI & NLP Integration: Collaborate with AI engineers to integrate LLM-driven insights, automated data parsing, and intelligent alerting systems into the core platform.

- Database Management: Design and optimize complex schemas for both relational and geospatial databases to ensure sub-second query performance on large datasets.

Technical Requirements:

- Frontend: Mastery of React.js or Next.js with expertise in advanced state management and real-time data visualization.

- Backend: Advanced proficiency in Node.js (TypeScript) or Python (FastAPI/Django) for building high-concurrency microservices.

- Geospatial Tools: Professional-level experience with ArcGIS API for JavaScript, Mapbox GL JS, or OpenLayers.

- Databases: Deep knowledge of PostgreSQL with PostGIS for executing complex spatial queries. Familiarity with NoSQL and Redis for real-time caching is a plus.

- AI Awareness: Solid understanding of integrating AI/ML models, RAG (Retrieval-Augmented Generation) workflows, and working with Vector Databases.

- Infrastructure: Proven experience with Docker, Kubernetes, and managing real-time data streaming or communication protocols on AWS, GCP, or Azure.

- Language Proficiency: Expert-level command over multiple programming languages (JavaScript/TypeScript, Python, and SQL).

Location: DHA Phase 6, Karachi
Shift: Morning

Work Location: In person