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Key Responsibilities
- Lead the architecture, design, and development of enterprise-scale web applications with integrated Generative AI capabilities.
- Define technical standards, architectural patterns, and best practices for scalable and secure software systems.
- Collaborate with product, AI/ML, DevOps, and security teams to ensure alignment between business goals and technical execution.
- Oversee full-stack development lifecycle, ensuring robust design, performance tuning, and security compliance.
- Evaluate and integrate AI components such as LLMs, embedding services, and vector databases into product architecture.
Mandatory Technical Skills
Cloud-Native Architecture & Microservices
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- Proven experience designing scalable, cloud-native applications using microservices and event-driven patterns on Azure Ecosystem.
Performance Optimization
- Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load-balanced architectures using Kubernetes or serverless platforms.
GenAI Integration & LLM Orchestration
- Hands-on with Generative AI technologies—Azure OpenAI, prompt engineering, RAG pipelines, embeddings, and vector search (e.g., Azure AI search, Azure PostgreSQL, etc.).
Backend Engineering (APIs, Data, Security)
- Strong expertise in REST APIs with versioning, throttling, and gateway integrations., PostgreSQL/MongoDB, OAuth2/SSO, and secure coding aligned with GDPR/SOC2 standards.
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Frontend Development (React/Next.js)
- Deep experience building enterprise-grade UIs using React.JS, component libraries, and modern design systems.
DevOps & Infrastructure as Code
- Proficiency in Azure CI/CD pipelines, Docker, and Kubernetes for automated, scalable deployments.
Real-Time & Scalable UI Patterns
- Experience with WebSockets/SSE, UI performance optimization, and handling large-scale dynamic frontends.
Testing, Observability & Quality Engineering
- Competence in automated unit/E2E testing, frontend performance profiling, and monitoring of deployed solutions.
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Skills
Cloud-Native Architecture
Microservices
Azure Ecosystem
Generative AI
LLM Orchestration
RAG Pipelines
Vector Databases
REST APIs
PostgreSQL
MongoDB
React.js
Next.js
Azure CI/CD
Docker
Kubernetes
OAuth2/SSO
Location