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Architect - Open Source

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Trivandrum, India QBurst Full time

DescriptionWe are seeking a highly skilled Architect / Associate Architect to lead the design, development, and governance of modern digital platforms. The ideal candidate must bring deep expertise in backend engineering, a strong understanding of frontend technologies, robust database fundamentals, and hands-on experience with cloud-native environments. The role demands strong technical leadership, the ability to mentor teams, define engineering standards, and drive end-to-end project execution.Responsibilities- Architect scalable, secure, and high-performance solutions across web and mobile ecosystems- Evaluate and select appropriate technology stacks for new projects- Translate business requirements into technical architectures, integration patterns, and implementation plans- Develop high-level and low-level design documents, system diagrams, and interface contracts- Provide accurate effort estimations, risk assessments, and feasibility insights- Ability to define clear API contracts and collaborate closely with frontend teams- Experience in designing efficient schemas, optimizing queries, and planning for database scalability- Define and enforce coding standards, best practices, and architectural guidelines across teamsRequirements- Hands-on development experience in at least one or two backend technologies such as Java/Node.js/Python/Golang- Expertise in building RESTful APIs, microservices, asynchronous processing, event-driven patterns, and distributed systems- Working knowledge of at least one frontend framework: React, Angular, or Vue- Strong experience with Relational Databases: PostgreSQL, MySQL, SQL Server- Good understanding of NoSQL technologies: MongoDB, DynamoDB, Redis, Cassandra, Elasticsearch, etc- Familiarity with at least one major cloud provider—AWS, Azure, or Google Cloud- Hands-on experience with cloud-native services (serverless, managed DBs, container services, queues, caching, etc.)- Strong understanding of CI/CD pipelines, automated deployments, monitoring, and observability- Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform / CloudFormation) is a plus- Exposure to AI/LLM tools, prompt engineering concepts, and applied use of models in product engineering- Knowledge of AI-native patterns such as RAG pipelines, vector databases, embeddings, etc- Understanding of agentic frameworks: LangChain, LangGraph, LangFlow, OpenAI Agents, DeepAgent, etc