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Architect - Java/Python/Node.JS/Golang

2 weeks ago

thiruvananthapuram, 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.Work Location: Trivandrum, KeralaResponsibilitiesArchitect scalable, secure, and high-performance solutions across web and mobile ecosystemsEvaluate and select appropriate technology stacks for new projectsTranslate business requirements into technical architectures, integration patterns, and implementation plansDevelop high-level and low-level design documents, system diagrams, and interface contractsProvide accurate effort estimations, risk assessments, and feasibility insightsAbility to define clear API contracts and collaborate closely with frontend teamsExperience in designing efficient schemas, optimizing queries, and planning for database scalabilityDefine and enforce coding standards, best practices, and architectural guidelines across teamsRequirementsHands-on development experience in at least one or two backend technologies such as Java/Node.js/Python/GolangExpertise in building RESTful APIs, microservices, asynchronous processing, event-driven patterns, and distributed systemsWorking knowledge of at least one frontend framework: React, Angular, or VueStrong experience with Relational Databases: PostgreSQL, MySQL, SQL ServerGood understanding of NoSQL technologies: MongoDB, DynamoDB, Redis, Cassandra, Elasticsearch, etcFamiliarity with at least one major cloud provider—AWS, Azure, or Google CloudHands-on experience with cloud-native services (serverless, managed DBs, container services, queues, caching, etc.)Strong understanding of CI/CD pipelines, automated deployments, monitoring, and observabilityExperience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform / CloudFormation) is a plusExposure to AI/LLM tools, prompt engineering concepts, and applied use of models in product engineeringKnowledge of AI-native patterns such as RAG pipelines, vector databases, embeddings, etcUnderstanding of agentic frameworks: LangChain, LangGraph, LangFlow, OpenAI Agents, DeepAgent, etc