Job Description

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Description

We 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.

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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 teams
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Requirements

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