Company Overview 
10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has product engineering and ‎software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com. 
Role 
We are seeking an experienced Full Stack Developer with 5-7 years of professional experience to join our growing engineering team. This is a backend-heavy role focusing on building scalable, AI-driven systems with modern frontend capabilities. You will work with cutting-edge technologies in asynchronous programming, message-driven architectures, and distributed systems design.
Responsibilities: 

• Design and implement robust backend systems using Python, Django, and FastAPI
• Build responsive, performant frontend applications with ReactJS and NextJS
• Architect AI-driven features and integrate machine learning models into production systems
• Design and optimize message-driven architectures using Kafka and other message brokers
• Implement caching strategies using Redis and optimize database performance
• Develop both synchronous and asynchronous services with proper concurrency handling
• Conduct code reviews and mentor junior developers on best practices
• Collaborate with product managers and designers to translate requirements into technical solutions
• Participate in system design discussions and contribute to architectural decisions
• Ensure code quality, performance, and security across the full stack

• 5-7 years of professional software development experience
• Strong proficiency in Python with deep understanding of language semantics
• Production experience with Django and FastAPI frameworks
• Expert-level understanding of asynchronous programming patterns (async/await, coroutines, event loops)
• Solid grasp of synchronous programming and when to apply each paradigm
• Experience building and maintaining RESTful and/or GraphQL APIs
• Proficiency in SQL and PostgreSQL (or similar relational databases)
• Strong proficiency in ReactJS with hooks, state management, and modern patterns
• Experience with NextJS including SSR, SSG, and API routes
• Understanding of frontend design patterns (components, containers, custom hooks, etc.)
• Responsive design and cross-browser compatibility skills
• Experience with frontend testing frameworks
• Deep understanding of system design principles and distributed systems
• Strong knowledge of backend design patterns (MVC, Repository, Service Layer, Observer, Factory, etc.)
• Ability to design scalable, maintainable architectures
• Experience with microservices architecture (preferred)
• Understanding of SOLID principles and clean code practices
• In-depth knowledge of Apache Kafka or similar event streaming platforms
• Experience with message brokers (RabbitMQ, Redis Streams, etc.)
• Advanced Redis expertise for caching, sessions, and data structures
• Understanding of caching strategies (cache invalidation, TTL, cache patterns)
• Experience with database optimization and query tuning
• Familiarity with connection pooling and resource manager
• Familiarity with integrating AI models into production systems
• Familiarity with LLM APIs and prompt engineering
• Understanding of vector databases and semantic search
• Understanding of RAG (Retrieval Augmented Generation) systems
• Ability to design API endpoints for AI feature delivery
• Understanding of performance optimization for AI workloads
• Proficiency with version control (Git) and collaborative workflows
• Experience with Docker and containerization
• Familiarity with CI/CD pipelines and automated testing
• Understanding of authentication and authorization mechanisms
• Basic knowledge of cloud platforms (AWS/Azure preferred)
• Ability to write comprehensive documentation

• Experience with serverless architectures
• Knowledge of observability tools (logging, monitoring, tracing)
• Contribution to open-source projects
• Experience with data pipeline frameworks
• Familiarity with Kubernetes or orchestration systems
• Background in performance optimization and benchmarking

• Problem-solving mindset and ability to break down complex systems
• Passion for writing clean, maintainable code
• Strong communication and documentation skills
• Willingness to learn and stay current with technology trends
• Collaborative spirit and ability to work in cross-functional teams
• Attention to detail and commitment to quality